https://www.topfolio.in/courses/sql-basics/sql-basics-m01-introduction-to-sql-databases/sql-overview-first-query https://i.ytimg.com/vi/QyZM1krf2NM/maxresdefault.jpg SQL OVERVIEW & FIRST QUERY Understand RDBMS concepts. https://www.youtube.com/embed/QyZM1krf2NM 2025-09-23T11:49:59.112Z 240 https://www.topfolio.in/courses/sql-basics/sql-basics-m01-introduction-to-sql-databases/basic-select https://i.ytimg.com/vi/af4LckivJT8/maxresdefault.jpg BASIC SELECT Understand basic `SELECT` and `SELECT *` https://www.youtube.com/embed/af4LckivJT8 2025-10-10T08:09:42.609Z 120 https://www.topfolio.in/courses/sql-basics/sql-basics-m02-data-retrieval-filtering/where-clause https://i.ytimg.com/vi/MARn_mssG4A/maxresdefault.jpg WHERE CLAUSE Understand `WHERE` Clause Basic Filtering and Logical Operators. https://www.youtube.com/embed/MARn_mssG4A 2025-09-23T11:49:59.112Z 780 https://www.topfolio.in/courses/sql-basics/sql-basics-m02-data-retrieval-filtering/case-when https://i.ytimg.com/vi/RYIiOG4LsvQ/maxresdefault.jpg CASE WHEN Understand `CASE WHEN` for data manipulation https://www.youtube.com/embed/RYIiOG4LsvQ 2025-10-10T10:46:46.648Z 540 https://www.topfolio.in/courses/sql-basics/sql-basics-m02-data-retrieval-filtering/string-functions https://i.ytimg.com/vi/KRXSJb9ql1Y/maxresdefault.jpg STRING FUNCTIONS Understand `STRING` manipulation functions https://www.youtube.com/embed/KRXSJb9ql1Y 2025-09-23T11:49:59.112Z 720 https://www.topfolio.in/courses/sql-basics/sql-basics-m02-data-retrieval-filtering/date-functions https://i.ytimg.com/vi/XyZ9HwXoR7o/maxresdefault.jpg DATE FUNCTIONS Understand different `DATE` manipulation functions https://www.youtube.com/embed/XyZ9HwXoR7o 2025-10-10T10:48:00.841Z 300 https://www.topfolio.in/courses/sql-basics/sql-basics-m02-data-retrieval-filtering/select-distinct https://i.ytimg.com/vi/yuYKEx6VDPE/maxresdefault.jpg SELECT DISTINCT Understand `DISTINCT` Clause https://www.youtube.com/embed/yuYKEx6VDPE 2025-10-10T10:49:54.254Z 120 https://www.topfolio.in/courses/sql-basics/sql-basics-m03-aggregations-group-by-order-by/aggregate-functions https://i.ytimg.com/vi/RGIVS8RGBaI/maxresdefault.jpg AGGREGATE FUNCTIONS Understand aggregate functions like COUNT, SUM, AVG etc. https://www.youtube.com/embed/RGIVS8RGBaI 2025-10-10T10:58:48.344Z 720 https://www.topfolio.in/courses/sql-basics/sql-basics-m03-aggregations-group-by-order-by/order-by https://i.ytimg.com/vi/uUO-ynRJKo0/maxresdefault.jpg ORDER BY Understand ORDER BY clause for reordering result https://www.youtube.com/embed/uUO-ynRJKo0 2025-10-10T10:58:48.344Z 120 https://www.topfolio.in/courses/sql-basics/sql-basics-m03-aggregations-group-by-order-by/group-by-order-by https://i.ytimg.com/vi/zgYqUP_PhQo/maxresdefault.jpg GROUP BY ORDER BY Understand GROUP BY and aggregation https://www.youtube.com/embed/zgYqUP_PhQo 2025-10-10T10:58:48.344Z 660 https://www.topfolio.in/courses/sql-basics/sql-basics-m03-aggregations-group-by-order-by/having-clause-and-where https://i.ytimg.com/vi/dCNjUOc1cBY/maxresdefault.jpg HAVING CLAUSE AND WHERE Understand filtering with GROUP BY and difference between HAVING and WHERE https://www.youtube.com/embed/dCNjUOc1cBY 2025-10-10T10:58:48.344Z 240 https://www.topfolio.in/courses/sql-basics/sql-basics-m03-aggregations-group-by-order-by/limit-and-aliasing https://i.ytimg.com/vi/ZnAydTqCtFU/maxresdefault.jpg LIMIT AND ALIASING Understand LIMIT Clause and aliasing https://www.youtube.com/embed/ZnAydTqCtFU 2025-10-10T10:58:48.344Z 240 https://www.topfolio.in/courses/sql-basics/sql-basics-m04-joins-union-null-handling/joins-inner-left-and-right https://i.ytimg.com/vi/lXQzD09BOH0/maxresdefault.jpg JOINS - INNER, LEFT AND RIGHT Understand combining data from multiple tables using INNER/LEFT/RIGHT JOINS https://www.youtube.com/embed/lXQzD09BOH0 2025-10-10T11:01:42.130Z 1080 https://www.topfolio.in/courses/sql-basics/sql-basics-m04-joins-union-null-handling/joins-full-cross-join https://i.ytimg.com/vi/Yh4CrPHVBdE/maxresdefault.jpg JOINS - FULL, CROSS JOIN Understand how FULL JOIN and CROSS JOIN work https://www.youtube.com/embed/Yh4CrPHVBdE 2025-10-10T11:01:42.130Z 600 https://www.topfolio.in/courses/sql-basics/sql-basics-m04-joins-union-null-handling/union-and-union-all https://i.ytimg.com/vi/iTQW_nDp938/maxresdefault.jpg UNION AND UNION ALL Understand how to combine data from 2 queries using UNION and UNION ALL https://www.youtube.com/embed/iTQW_nDp938 2025-10-10T11:01:42.130Z 480 https://www.topfolio.in/courses/sql-basics/sql-basics-m04-joins-union-null-handling/null-values https://i.ytimg.com/vi/RKUYYrmv6gw/maxresdefault.jpg NULL VALUES Understand meaning of NULL values https://www.youtube.com/embed/RKUYYrmv6gw 2025-10-10T11:01:42.130Z 180 https://www.topfolio.in/courses/sql-basics/sql-basics-m04-joins-union-null-handling/null-handling https://i.ytimg.com/vi/6Twnw3sQChk/maxresdefault.jpg NULL HANDLING Understand how to handle NULL values https://www.youtube.com/embed/6Twnw3sQChk 2025-10-10T11:01:42.130Z 900 https://www.topfolio.in/courses/sql-basics/sql-basics-m04-joins-union-null-handling/converting-data-types https://i.ytimg.com/vi/n6uKFVzGaTE/maxresdefault.jpg CONVERTING DATA TYPES Understand converting different data types https://www.youtube.com/embed/n6uKFVzGaTE 2025-10-10T11:01:42.130Z 120 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m01-cte-common-table-expression/advanced-sql-tutorial-cte-common-table-expression https://i.ytimg.com/vi/ZaFMM-vNlvc/maxresdefault.jpg Advanced SQL Tutorial | CTE (Common Table Expression) Build modular queries with WITH and nested selects. https://www.youtube.com/embed/ZaFMM-vNlvc 2025-09-23T11:49:59.112Z 240 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m02-window-functions-analytics-focus/window-functions-for-analysts https://i.ytimg.com/vi/y1KCM8vbYe4/maxresdefault.jpg Window Functions for Analysts Ranking, running totals, moving averages with OVER(). https://www.youtube.com/embed/y1KCM8vbYe4 2025-09-23T11:49:59.112Z 600 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m02-window-functions-analytics-focus/window-functions-difference-between-row-number-rank-dense-rank https://i.ytimg.com/vi/rIcB4zMYMas/maxresdefault.jpg Window Functions - Difference between ROW_NUMBER(), RANK(), DENSE_RANK() Window Functions - Difference between ROW_NUMBER(), RANK(), DENSE_RANK() https://www.youtube.com/embed/rIcB4zMYMas 2025-11-16T09:41:19.954Z 420 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m02-window-functions-analytics-focus/window-functions-lead-lag https://i.ytimg.com/vi/speKIs60TRs/maxresdefault.jpg Window Functions - Lead & Lag Window Functions - Lead & Lag https://www.youtube.com/embed/speKIs60TRs 2025-11-16T09:32:47.195Z 600 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m03-subqueries-scalar-correlated/advanced-sql-tutorial-subqueries https://i.ytimg.com/vi/m1KcNV-Zhmc/maxresdefault.jpg Advanced SQL Tutorial | Subqueries Advanced SQL Tutorial | Subqueries https://www.youtube.com/embed/m1KcNV-Zhmc 2025-09-23T11:49:59.112Z 540 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m03-subqueries-scalar-correlated/subqueries-in-mysql-intermediate-mysql https://i.ytimg.com/vi/Vj6RqA_X-IE/maxresdefault.jpg Subqueries in MySQL | Intermediate MySQL Subqueries in MySQL | Intermediate MySQL https://www.youtube.com/embed/Vj6RqA_X-IE 2025-11-16T12:22:48.086Z 600 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m04-advanced-analytics-pivot-unpivot-indexing-order-of-execution/pivot-and-unpivot-in-sql https://i.ytimg.com/vi/1QdXGxaA-Jo/maxresdefault.jpg PIVOT and UNPIVOT in SQL PIVOT and UNPIVOT in SQL https://www.youtube.com/embed/1QdXGxaA-Jo 2025-09-23T11:49:59.112Z 1800 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m04-advanced-analytics-pivot-unpivot-indexing-order-of-execution/sql-indexes-just-filter-or-join-on-indexed-columns https://i.ytimg.com/vi/t0grczCICMk/maxresdefault.jpg SQL - Indexes (Just filter or join on indexed columns) SQL - Indexes (Just filter or join on indexed columns) https://www.youtube.com/embed/t0grczCICMk 2025-11-16T12:44:24.352Z 420 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m04-advanced-analytics-pivot-unpivot-indexing-order-of-execution/order-of-execution-optimizing-queries https://i.ytimg.com/vi/BHwzDmr6d7s/maxresdefault.jpg Order of Execution - Optimizing Queries Order of Execution - Optimizing Queries https://www.youtube.com/embed/BHwzDmr6d7s 2025-11-16T12:45:41.632Z 360 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m05-advanced-database-concepts-stored-procedures-views-temp-tables/stored-procedures https://i.ytimg.com/vi/7vnxpcqmqNQ/maxresdefault.jpg Stored Procedures Stored Procedures https://www.youtube.com/embed/7vnxpcqmqNQ 2025-09-23T11:49:59.112Z 900 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m05-advanced-database-concepts-stored-procedures-views-temp-tables/views https://i.ytimg.com/vi/vLLkNI-vkV8/maxresdefault.jpg Views Views https://www.youtube.com/embed/vLLkNI-vkV8 2025-09-23T11:49:59.112Z 300 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m05-advanced-database-concepts-stored-procedures-views-temp-tables/temp-tables https://i.ytimg.com/vi/RF0LE3hYFrI/maxresdefault.jpg Temp Tables Temp Tables https://www.youtube.com/embed/RF0LE3hYFrI 2025-09-23T11:49:59.112Z 600 https://www.topfolio.in/courses/sql-advanced-analytics/sql-advanced-analytics-m05-advanced-database-concepts-stored-procedures-views-temp-tables/recursive-ctes https://i.ytimg.com/vi/LJC8277LONg/maxresdefault.jpg Recursive CTEs Recursive CTEs https://www.youtube.com/embed/LJC8277LONg 2025-11-16T13:08:21.804Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m01-python-setup-environment/installing-python https://i.ytimg.com/vi/YKSpANU8jPE/maxresdefault.jpg Installing Python Set up Python on your system and learn how to verify the installation so you’re ready to start writing your first lines of code. https://www.youtube.com/embed/YKSpANU8jPE 2025-11-17T11:38:53.405Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m01-python-setup-environment/installing-jupyter-notebook https://i.ytimg.com/vi/kGXI8jZFw-I/maxresdefault.jpg Installing Jupyter Notebook Learn how to install and launch Jupyter Notebook, the most popular environment for practicing Python and data analytics interactively. https://www.youtube.com/embed/kGXI8jZFw-I 2025-11-17T12:09:23.223Z 120 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-variables https://i.ytimg.com/vi/Gf9wLsCJDqc/maxresdefault.jpg Python Variables Understand how variables work in Python and how to store, update, and manage data efficiently. https://www.youtube.com/embed/Gf9wLsCJDqc 2025-11-18T16:51:07.802Z 600 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-basic-datatypes https://i.ytimg.com/vi/KrToaEvDzdk/maxresdefault.jpg Python Basic Datatypes Learn about Python’s primary datatypes—integers, floats, booleans, strings—and where each is used in analytics. https://www.youtube.com/embed/KrToaEvDzdk 2025-11-18T16:52:26.437Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-lists https://i.ytimg.com/vi/r3zOeTmljhQ/maxresdefault.jpg Python Lists Discover how to work with lists, the most flexible container type in Python, and use them for storing ordered collections of data. https://www.youtube.com/embed/r3zOeTmljhQ 2025-11-18T16:53:54.512Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-dictionaries https://i.ytimg.com/vi/MZZSMaEAC2g/maxresdefault.jpg Python Dictionaries Learn how to store key–value data using dictionaries and why they are essential for storing structured information. https://www.youtube.com/embed/MZZSMaEAC2g 2025-11-18T16:55:10.934Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-for-loops https://i.ytimg.com/vi/KWgYha0clzw/maxresdefault.jpg Python For Loops Master loops to perform repeated actions and process data efficiently in Python. https://www.youtube.com/embed/KWgYha0clzw 2025-11-18T16:57:30.054Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-while-loops https://i.ytimg.com/vi/rRTjPnVooxE/maxresdefault.jpg Python While Loops Understand how while loops work and where they are useful compared to for loops. https://www.youtube.com/embed/rRTjPnVooxE 2025-11-18T16:58:24.350Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-if-conditions https://i.ytimg.com/vi/FvMPfrgGeKs/maxresdefault.jpg Python If Conditions Learn how to write conditional statements to add decision-making logic to your Python code. https://www.youtube.com/embed/FvMPfrgGeKs 2025-11-18T17:09:10.307Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-functions https://i.ytimg.com/vi/KW6qncswzHw/maxresdefault.jpg Python Functions Understand how functions help you write reusable, modular code and make your analysis cleaner and scalable. https://www.youtube.com/embed/KW6qncswzHw 2025-11-18T17:09:48.989Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-strings https://i.ytimg.com/vi/Ctqi5Y4X-jA/maxresdefault.jpg Python Strings Learn powerful string manipulation techniques that help in cleaning messy text data. https://www.youtube.com/embed/Ctqi5Y4X-jA 2025-11-18T17:11:31.209Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m02-python-fundamentals/python-regular-expressions-regex https://i.ytimg.com/vi/UQQsYXa1EHs/maxresdefault.jpg Python Regular Expressions (Regex) Master regex basics to extract, match, and clean patterns from real-world unstructured text data. https://www.youtube.com/embed/UQQsYXa1EHs 2025-11-18T17:12:10.957Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m03-numpy-foundations/numpy-vs-python-lists https://i.ytimg.com/vi/rN0TREj8G7U/maxresdefault.jpg NumPy vs Python Lists Understand the difference between Python lists and NumPy arrays, and why NumPy is essential for data analysis. https://www.youtube.com/embed/rN0TREj8G7U 2025-11-18T17:15:18.094Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m03-numpy-foundations/numpy-basics https://i.ytimg.com/vi/xECXZ3tyONo/maxresdefault.jpg NumPy Basics Learn how to create, index, slice, and manipulate NumPy arrays for fast numerical operations. https://www.youtube.com/embed/xECXZ3tyONo 2025-11-18T17:14:34.902Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m03-numpy-foundations/numpy-broadcasting https://i.ytimg.com/vi/P67wiuTx7l0/maxresdefault.jpg NumPy Broadcasting Discover how broadcasting allows you to perform operations on arrays of different shapes efficiently. https://www.youtube.com/embed/P67wiuTx7l0 2025-11-18T17:18:02.418Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m03-numpy-foundations/numpy-aggregations https://i.ytimg.com/vi/8pUBr05OQfs/maxresdefault.jpg NumPy Aggregations Learn aggregation operations like sum, mean, min, max, and how to apply them along different axes. https://www.youtube.com/embed/8pUBr05OQfs 2025-11-18T17:18:38.605Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/dataframe-series-basics-selecting-rows-and-columns https://i.ytimg.com/vi/zmdjNSmRXF4/maxresdefault.jpg DataFrame & Series Basics: Selecting Rows and Columns Learn the core architecture of Pandas DataFrames and Series, bracket notation vs dot notation, and selecting rows and columns using .loc[] and .iloc[]. https://www.youtube.com/embed/zmdjNSmRXF4 2025-11-18T17:20:49.963Z 1980 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/reading-writing-data https://i.ytimg.com/vi/N6hyN6BW6ao/maxresdefault.jpg Reading & Writing Data Understand how to import and export CSV, Excel, and JSON files using pandas—your first step into real datasets. https://www.youtube.com/embed/N6hyN6BW6ao 2025-11-18T17:21:52.596Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/filtering-sorting https://i.ytimg.com/vi/rKPd0j_thh4/maxresdefault.jpg Filtering & Sorting Learn to filter rows, select columns, and sort datasets to extract meaningful insights. https://www.youtube.com/embed/rKPd0j_thh4 2025-11-18T17:23:07.713Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/handling-missing-values https://i.ytimg.com/vi/AbBZYHNYFaY/maxresdefault.jpg Handling Missing Values Master techniques to detect, clean, replace, or drop missing data—one of the most common real-world problems. https://www.youtube.com/embed/AbBZYHNYFaY 2025-11-18T17:23:58.924Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/working-with-date-time https://i.ytimg.com/vi/yCgJGsg0Xa4/maxresdefault.jpg Working with Date & Time Learn pandas’ datetime features to parse dates, extract components, and work with time-series data. https://www.youtube.com/embed/yCgJGsg0Xa4 2025-11-18T17:24:31.286Z 900 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/combining-dataframes-sql-style-relational-merges https://i.ytimg.com/vi/h4hOPGo4UVU/maxresdefault.jpg Combining DataFrames: SQL-Style Relational Merges Master relational database-style joins in Pandas using pd.merge(): inner, outer, left, and right joins, join keys, indicator flags, and custom suffixes. https://www.youtube.com/embed/h4hOPGo4UVU 2025-11-18T17:25:54.022Z 480 https://www.topfolio.in/courses/python-essentials/python-essentials-m04-pandas-for-data-analytics/groupby-aggregations https://i.ytimg.com/vi/VRmXto2YA2I/maxresdefault.jpg Groupby & Aggregations Learn to summarize and aggregate data efficiently using groupby—one of the most powerful operations in pandas. https://www.youtube.com/embed/VRmXto2YA2I 2025-11-18T17:26:30.628Z 900 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m01-the-excel-essentials/interface-navigation https://i.ytimg.com/vi/ai43glHwDx8/maxresdefault.jpg Interface & Navigation Learn the ribbon and where to find tools quickly. https://www.youtube.com/embed/ai43glHwDx8 2025-12-23T05:56:53.737Z 360 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m01-the-excel-essentials/cell-referencing https://i.ytimg.com/vi/_4LIyPNt4M8/maxresdefault.jpg Cell Referencing The most important concept for formulas ($ signs). https://www.youtube.com/embed/_4LIyPNt4M8 2025-12-23T10:29:56.058Z 480 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m02-excel-cleaning-logic/data-cleaning https://i.ytimg.com/vi/_jmiEGZ6PIY/maxresdefault.jpg Data Cleaning Using Flash Fill and Text-to-Columns to fix messy data. https://www.youtube.com/embed/_jmiEGZ6PIY 2025-12-23T10:36:19.800Z 600 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m02-excel-cleaning-logic/text-functions-data-quality https://i.ytimg.com/vi/q7EpoOwBcnM/maxresdefault.jpg Text Functions & Data Quality Learn essential text cleaning functions (TRIM, PROPER, UPPER, LOWER) and data deduplication (Remove Duplicates). https://www.youtube.com/embed/q7EpoOwBcnM 2026-07-29T07:06:52.291Z 720 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m02-excel-cleaning-logic/lookup-functions https://i.ytimg.com/vi/i8x3NQmQzno/maxresdefault.jpg Lookup Functions Mastering VLOOKUP and the modern XLOOKUP. https://www.youtube.com/embed/i8x3NQmQzno 2025-12-23T10:37:11.429Z 600 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m02-excel-cleaning-logic/logical-math-functions https://i.ytimg.com/vi/dI8w0utjUc0/maxresdefault.jpg Logical & Math Functions Master IF, SUMIF, COUNTIF, SUM, and AVERAGE — the essential formula toolkit every data analyst uses daily. https://www.youtube.com/embed/dI8w0utjUc0 2026-07-29T07:06:52.291Z 900 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m03-excel-pivot-tables/pivot-table-basics https://i.ytimg.com/vi/qu-AK0Hv0b4/maxresdefault.jpg Pivot Table Basics Learn how to create and configure Pivot Tables to summarize large datasets. Note: Always right-click your PivotTable and click Refresh to pull in new source data updates! https://www.youtube.com/embed/qu-AK0Hv0b4 2025-12-23T10:39:03.526Z 720 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m03-excel-pivot-tables/interactivity https://i.ytimg.com/vi/cmpV9Hx8NSw/maxresdefault.jpg Interactivity Adding Slicers and Timelines to filter your data https://www.youtube.com/embed/cmpV9Hx8NSw 2025-12-23T10:39:36.997Z 600 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m03-excel-pivot-tables/conditional-formatting-charts https://i.ytimg.com/vi/67xIJ58cYwo/maxresdefault.jpg Conditional Formatting & Charts Apply conditional formatting rules to highlight key data patterns, and create Pivot Charts (bar and line) to visualize pivot table summaries. https://www.youtube.com/embed/67xIJ58cYwo 2026-07-29T07:06:52.291Z 600 https://www.topfolio.in/courses/excel-data-analytics/excel-data-analytics-m04-excel-dashboards/building-the-dashboard https://i.ytimg.com/vi/0cy2t2nBxIo/maxresdefault.jpg Building the Dashboard Putting it all together into a report https://www.youtube.com/embed/0cy2t2nBxIo 2025-12-23T10:41:13.865Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m01-foundations/first-data-connection https://i.ytimg.com/vi/bo3C3nGTkpw/maxresdefault.jpg First Data Connection Connect Tableau to a CSV file and get oriented on the Data Source page -- including the choice between a Live connection and an Extract. https://www.youtube.com/embed/bo3C3nGTkpw 2026-07-31T13:56:26.208Z 180 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m01-foundations/connecting-to-data-joins https://i.ytimg.com/vi/jz5D5J7iUxE/maxresdefault.jpg Connecting to Data & Joins Picking up right after your data is loaded, understand Tableau's Physical Layer and how to build joins (inner, left, right, full outer) between tables, how joins differ from Relationships in the Logical Layer, and how to use Join Calculations to create composite keys when tables lack a shared column. https://www.youtube.com/embed/jz5D5J7iUxE 2026-07-29T07:06:52.291Z 720 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m01-foundations/dimensions-vs-measures https://i.ytimg.com/vi/nbqdvwNdNwo/maxresdefault.jpg Dimensions vs. Measures Learn to distinguish Dimensions (qualitative, used to segment data) from Measures (quantitative, aggregated), understand how discrete (blue) vs. continuous (green) pills change chart behavior, and see how toggling a date field between discrete date-parts and a continuous timeline switches between grouped bar charts and a single flowing line. https://www.youtube.com/embed/nbqdvwNdNwo 2025-12-23T10:52:03.892Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m01-foundations/building-charts-the-marks-card https://i.ytimg.com/vi/uQBCtGVGDRc/maxresdefault.jpg Building Charts & The Marks Card Build your first visualizations using bar and line charts. Master the Tableau Marks Card (Color, Size, Label, Tooltip) to highlight performance differences, understand how discrete (blue) vs. continuous (green) fields change Marks Card behavior, and learn to limit labels (e.g., Min/Max only) for clean, readable visualizations. https://www.youtube.com/embed/uQBCtGVGDRc 2026-07-29T07:06:52.291Z 1080 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m01-foundations/scatter-plots https://i.ytimg.com/vi/v2hGKOscwlQ/maxresdefault.jpg Scatter Plots Build a scatter plot in Tableau to compare two continuous measures, encode a third and fourth dimension using Size, Color, and Shape, switch marks to Filled Circles, and fix overplotting with Opacity and Border adjustments. https://www.youtube.com/embed/v2hGKOscwlQ 2026-07-31T13:56:26.208Z 240 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m02-analysis/calculated-fields https://i.ytimg.com/vi/rlmeQWDTI-s/maxresdefault.jpg Calculated Fields Creating custom calculated fields in Tableau — basic arithmetic formulas (e.g., a Cost field using SUM([Sales]) - SUM([Profit])), MIN/MAX aggregation functions, and CEILING/FLOOR functions for numeric rounding and formatting. https://www.youtube.com/embed/rlmeQWDTI-s 2025-12-23T10:53:17.937Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m03-advanced-tools/parameters https://i.ytimg.com/vi/myH5UmbG7Oo/maxresdefault.jpg Parameters Making your charts dynamic and user-controlled https://www.youtube.com/embed/myH5UmbG7Oo 2025-12-23T10:54:16.693Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m03-advanced-tools/lod-expressions https://i.ytimg.com/vi/5ntCaHCsqUc/maxresdefault.jpg LOD Expressions An introduction to the powerful FIXED calculation https://www.youtube.com/embed/5ntCaHCsqUc 2025-12-23T10:54:54.736Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m03-advanced-tools/include-exclude-lod-expressions https://i.ytimg.com/vi/D3-0-OoGNVc/maxresdefault.jpg INCLUDE & EXCLUDE LOD Expressions Extend your FIXED LOD knowledge with INCLUDE and EXCLUDE Level of Detail expressions -- understand LOD syntax as a way to 'zoom in' or 'zoom out' from the current view's granularity, and troubleshoot the common 'cannot mix aggregate and non-aggregate' error. https://www.youtube.com/embed/D3-0-OoGNVc 2026-07-31T13:56:26.208Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m03-advanced-tools/table-calculations https://i.ytimg.com/vi/j3lFq-9SVLg/maxresdefault.jpg Table Calculations Quick Table Calculations -- Running Total, Difference, and Moving Average. https://www.youtube.com/embed/j3lFq-9SVLg 2026-07-31T07:34:14.880Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m04-storytelling/intro-to-dashboards https://i.ytimg.com/vi/96371LvULXM/maxresdefault.jpg Intro to Dashboards Learn the fundamentals of dashboard construction -- Horizontal, Vertical, and Tiled layout containers, floating vs. tiled placement, padding and background formatting, and how to use the Item Hierarchy panel (blue for containers, grey for content) to navigate and fix nested layouts. https://www.youtube.com/embed/96371LvULXM 2026-07-29T07:06:52.291Z 540 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m04-storytelling/dashboard-actions https://i.ytimg.com/vi/4oZtGwnszss/maxresdefault.jpg Dashboard Actions Learn five of Tableau's six dashboard action types — Filter, Highlight, Go to Sheet (Navigation), Set, and Parameter actions — to build clickable, cross-filtering, and drill-down dashboards. (Go to URL, a sixth Tableau action type, is covered in the next lesson.) https://www.youtube.com/embed/4oZtGwnszss 2025-12-23T10:57:38.862Z 600 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m04-storytelling/go-to-url-actions https://i.ytimg.com/vi/-VZHqORQppM/maxresdefault.jpg Go to URL Actions Add a Go to URL dashboard action to link a mark to an external webpage, and use dynamic URL fields (e.g., embedding a State field) so the link changes based on what a viewer clicks. https://www.youtube.com/embed/-VZHqORQppM 2026-07-31T13:56:26.208Z 180 https://www.topfolio.in/courses/tableau-basics/tableau-basics-m04-storytelling/building-a-story https://i.ytimg.com/vi/avjsxRHlFSM/maxresdefault.jpg Building a Story Combine multiple worksheets and dashboards into a Tableau Story -- add Story Points with descriptive Captions to build a data narrative, and understand that stories stay live-linked to their source sheets, so upstream changes automatically reflect in the story. https://www.youtube.com/embed/avjsxRHlFSM 2025-12-23T10:58:43.992Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m00-stats-you-can-actually-use/mean-median-mode-why-averages-lie https://i.ytimg.com/vi/h8EYEJ32oQ8/maxresdefault.jpg Mean, Median & Mode - Why Averages Lie A short primer on the three summary statistics every analyst uses daily, and why they tell different stories about the same data. FIND_VIDEO: search 'Khan Academy mean median mode' - recommended channel: Khan Academy. Aim for 10 min or under. https://www.youtube.com/embed/h8EYEJ32oQ8 2026-05-25T17:53:30.856Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m00-stats-you-can-actually-use/variance-standard-deviation-percentiles https://i.ytimg.com/vi/IFKQLDmRK0Y/maxresdefault.jpg Variance, Standard Deviation & Percentiles What 'spread' means and why p50/p90/p99 are reported the way they are. FIND_VIDEO: search 'StatQuest standard deviation percentile' - recommended channel: StatQuest with Josh Starmer. Aim for 11 min or under. https://www.youtube.com/embed/IFKQLDmRK0Y 2026-05-25T17:53:30.856Z 660 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m00-stats-you-can-actually-use/distributions-that-matter-in-da-work https://i.ytimg.com/vi/rzFX5NWojp0/maxresdefault.jpg Distributions That Matter in DA Work Normal vs log-normal vs long-tailed: how to recognize which one you're looking at, and why it changes how you summarize it. FIND_VIDEO: search 'StatQuest normal log-normal distribution' - recommended channel: StatQuest with Josh Starmer. Aim for 12 min or under. https://www.youtube.com/embed/rzFX5NWojp0 2026-05-25T17:53:30.856Z 720 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m00-stats-you-can-actually-use/sampling-intuition-why-sample-size-matters-less-than-you-think https://i.ytimg.com/vi/Rf-fIpB4D50/maxresdefault.jpg Sampling Intuition - Why Sample Size Matters Less Than You Think A small random sample beats a huge biased one. This video makes that case through survey design and sampling-bias methods (stratified, cluster, non-response bias) - the recap below connects it directly to the 'size matters less than design' thesis with a real historical example. FIND_VIDEO: search 'CrashCourse sampling methods bias' - recommended channel: CrashCourse. Aim for 10 min or under. https://www.youtube.com/embed/Rf-fIpB4D50 2026-05-25T17:53:30.856Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m01-reading-inference-without-doing-the-math/p-values-null-hypothesis-what-they-actually-mean https://i.ytimg.com/vi/vemZtEM63GY/maxresdefault.jpg P-values & Null Hypothesis - What They Actually Mean Decoding 'p < 0.05' in plain English. The four most common misinterpretations. FIND_VIDEO: search 'StatQuest p-value null hypothesis' - recommended channel: StatQuest with Josh Starmer. Aim for 12 min or under. https://www.youtube.com/embed/vemZtEM63GY 2026-05-25T17:53:30.856Z 720 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m01-reading-inference-without-doing-the-math/confidence-intervals-the-most-useful-thing-in-applied-stats https://i.ytimg.com/vi/TqOeMYtOc1w/maxresdefault.jpg Confidence Intervals - The Most Useful Thing in Applied Stats Why CIs beat p-values for communicating results to non-analysts. FIND_VIDEO: search 'StatQuest confidence interval' - recommended channel: StatQuest with Josh Starmer. Aim for 10 min or under. https://www.youtube.com/embed/TqOeMYtOc1w 2026-05-25T17:53:30.856Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m01-reading-inference-without-doing-the-math/type-i-vs-type-ii-errors-false-positives-false-negatives https://i.ytimg.com/vi/a_l991xUAOU/maxresdefault.jpg Type I vs Type II Errors - False Positives, False Negatives Which error costs more depends entirely on the business decision - and most A/B tests are biased toward Type II. FIND_VIDEO: search '365 Data Science Type 1 error vs Type 2 error' - recommended channel: 365 Data Science. Aim for 9 min or under. https://www.youtube.com/embed/a_l991xUAOU 2026-05-25T17:53:30.856Z 540 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m01-reading-inference-without-doing-the-math/statistical-vs-practical-significance https://i.ytimg.com/vi/Cm0vFoGVMB8/maxresdefault.jpg Statistical vs Practical Significance When a 'statistically significant' result has zero business meaning - and what to do about it. FIND_VIDEO: search 'statsig vs practical significance effect size' - recommended channel: Crash Course Statistics. Aim for 8 min or under. https://www.youtube.com/embed/Cm0vFoGVMB8 2026-05-25T17:53:30.856Z 480 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m01-reading-inference-without-doing-the-math/five-stats-traps-that-will-fool-you https://i.ytimg.com/vi/ebEkn-BiW5k/maxresdefault.jpg Five Stats Traps That Will Fool You Simpson's paradox, base-rate fallacy, regression to the mean, multiple testing, and selection bias - all in one short tour. FIND_VIDEO: search 'Simpson's paradox base rate fallacy regression to the mean' - recommended channel: MinutePhysics. Aim for 14 min or under. https://www.youtube.com/embed/ebEkn-BiW5k 2026-05-25T17:53:30.856Z 840 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m02-thinking-in-product-metrics/north-star-metrics-what-they-are-and-aren-t https://i.ytimg.com/vi/ZwrRJlhJBrE/maxresdefault.jpg North-Star Metrics - What They Are and Aren't The metric that ties a product team together - and how teams pick the wrong one. FIND_VIDEO: search 'Exponent How to Set a Great North Star Metric' - recommended channel: Exponent. Aim for 9 min or under. https://www.youtube.com/embed/ZwrRJlhJBrE 2026-05-25T17:53:30.856Z 540 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m02-thinking-in-product-metrics/aarrr-pirate-metrics-for-product-analytics https://i.ytimg.com/vi/irjgfW0BIrw/maxresdefault.jpg AARRR - Pirate Metrics for Product Analytics Acquisition, activation, retention, revenue, referral - the most-used product analytics framework. FIND_VIDEO: search 'Ignite Seattle Dave McClure Startup Metrics for Pirates AARRR' - recommended channel: Ignite Seattle. Aim for 8 min or under. https://www.youtube.com/embed/irjgfW0BIrw 2026-05-25T17:53:30.856Z 480 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m02-thinking-in-product-metrics/leading-vs-lagging-indicators https://i.ytimg.com/vi/NBt1ij0rrZk/maxresdefault.jpg Leading vs Lagging Indicators What to optimize vs what to monitor. Teams that confuse the two ship the wrong things for months. This video uses general management examples (weight loss, customer surveys) - as you watch, swap those for product ones in your head: 'diet and exercise' is D1 activation rate, 'the scale' is 90-day retention. The recap does this translation explicitly. FIND_VIDEO: search 'The Modern Manager Leading and Lagging Indicators' - recommended channel: The Modern Manager. Aim for 8 min or under. https://www.youtube.com/embed/NBt1ij0rrZk 2026-05-25T17:53:30.856Z 480 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m02-thinking-in-product-metrics/funnel-analysis-finding-where-users-drop-off https://i.ytimg.com/vi/aRn6YoWpzcc/maxresdefault.jpg Funnel Analysis - Finding Where Users Drop Off Build funnels, find the leakiest step, decide what to do - and why 'fix the biggest drop' is usually wrong. FIND_VIDEO: search 'Amplitude Onboarding Funnel Drop Off' - recommended channel: Amplitude. Aim for 10 min or under. https://www.youtube.com/embed/aRn6YoWpzcc 2026-08-26T14:35:30.504Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m02-thinking-in-product-metrics/cohort-retention-curves-smiling-flat-leaky https://i.ytimg.com/vi/71pOcvV6T98/maxresdefault.jpg Cohort Retention Curves - Smiling, Flat, Leaky Cohort curves tell you the long-term health of a product faster than any other chart. Learn to read them. FIND_VIDEO: search 'cohort retention curve product analytics' - recommended channel: Amplitude. Aim for 10 min or under. https://www.youtube.com/embed/71pOcvV6T98 2026-08-26T16:33:38.166Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m03-a-b-testing-in-practice/why-a-b-test-at-all https://i.ytimg.com/vi/LXR2BTrHR9M/maxresdefault.jpg Why A/B Test At All Sometimes experiments are wasted effort. Sometimes they're theatre. An ex-Meta PM walks through the five decisions that separate a real experiment from testing theatre - primary vs. guardrail metrics, and pre-committing to ship/no-ship/retest before you look at results. FIND_VIDEO: search 'Dianna Yau 5 steps before running a product A/B test experiment' - recommended channel: Dianna Yau. Aim for 11 min or under. https://www.youtube.com/embed/LXR2BTrHR9M 2026-05-25T17:53:30.856Z 660 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m03-a-b-testing-in-practice/designing-an-a-b-test-hypothesis-to-guardrails https://i.ytimg.com/vi/VpTlNRUcIDo/maxresdefault.jpg Designing an A/B Test - Hypothesis to Guardrails Hypothesis → primary metric → guardrails → exposure unit. Get any of these wrong and the test is invalid. FIND_VIDEO: search 'Emma Ding AB Testing Fundamentals What Every Data Scientist Needs to Know' - recommended channel: Emma Ding. Aim for 10 min or under. https://www.youtube.com/embed/VpTlNRUcIDo 2026-05-25T17:53:30.856Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m03-a-b-testing-in-practice/sample-size-minimum-detectable-effect-the-napkin-version https://i.ytimg.com/vi/FKPec6RoJOg/maxresdefault.jpg Sample Size & Minimum Detectable Effect - The Napkin Version Build sample-size intuition without formulas. Why a 1% lift needs a much bigger sample than 10%. FIND_VIDEO: search 'ab test sample size minimum detectable effect intuition' - recommended channel: Emma Ding. Aim for 10 min or under. https://www.youtube.com/embed/FKPec6RoJOg 2026-05-25T17:53:30.856Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m03-a-b-testing-in-practice/reading-a-b-test-results https://i.ytimg.com/vi/VuKIN9S8Ivs/maxresdefault.jpg Reading A/B Test Results Decoding the output of common experimentation platforms - what to look at, what to ignore. FIND_VIDEO: search 'Emma Ding AB Testing Made Easy Real Life Example' - recommended channel: Emma Ding. Aim for 10 min or under. https://www.youtube.com/embed/VuKIN9S8Ivs 2026-08-26T14:35:30.504Z 600 https://www.topfolio.in/courses/stats-product-analytics-for-analysts/stats-product-analytics-for-analysts-m03-a-b-testing-in-practice/why-experiments-go-wrong-five-failure-modes https://i.ytimg.com/vi/X8u6kr4fxXc/maxresdefault.jpg Why Experiments Go Wrong - Five Failure Modes Peeking, novelty effects, contamination, network effects, segment surprises - the five ways tests lie. FIND_VIDEO: search 'Emma Ding Crack AB Testing Problems for Data Science Interviews' - recommended channel: Emma Ding. Aim for 12 min or under. https://www.youtube.com/embed/X8u6kr4fxXc 2026-08-26T16:33:38.166Z 720 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m00-business-sql-patterns/calculating-ltv-in-sql-patterns-from-real-saas https://i.ytimg.com/vi/EYS4wCEm6tc/maxresdefault.jpg Calculating LTV in SQL — Patterns from Real SaaS Three flavours of LTV you'll be asked to compute, and the SQL that gets each one right. FIND_VIDEO: search 'customer lifetime value SQL tutorial' — recommended channel: Data with Danny. Aim for 11 min or under. https://www.youtube.com/embed/EYS4wCEm6tc 2026-05-25T18:18:56.747Z 660 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m00-business-sql-patterns/cohort-retention-analysis-in-pure-sql https://i.ytimg.com/vi/mYSqc6Funuc/maxresdefault.jpg Cohort Retention Analysis in Pure SQL Building the retention triangle from raw events — one query, no Python. FIND_VIDEO: search 'cohort retention SQL window functions' — recommended channel: EverSQL / Mode Analytics. Aim for 12 min or under. https://www.youtube.com/embed/mYSqc6Funuc 2026-05-25T18:18:56.747Z 720 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m00-business-sql-patterns/funnel-analysis-with-self-joins-and-window-functions https://i.ytimg.com/vi/p0ZAjUf1h4A/maxresdefault.jpg Funnel Analysis with Self-Joins and Window Functions Two ways to write a funnel — self-joins (simple, slow) and window functions (fast, scalable). FIND_VIDEO: search 'SQL funnel analysis conversion' — recommended channel: Mode Analytics. Aim for 12 min or under. https://www.youtube.com/embed/p0ZAjUf1h4A 2026-05-25T18:18:56.747Z 720 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m00-business-sql-patterns/mom-yoy-wow-the-sql-patterns https://i.ytimg.com/vi/HvU5haPKXmE/maxresdefault.jpg MoM, YoY, WoW — The SQL Patterns Every BI dashboard has these. LAG() is your friend. Self-joins are not. FIND_VIDEO: search 'SQL month over month growth LAG' — recommended channel: EverSQL. Aim for 10 min or under. https://www.youtube.com/embed/HvU5haPKXmE 2026-05-25T18:18:56.747Z 600 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m00-business-sql-patterns/top-n-per-group-the-rank-row-number-trap https://i.ytimg.com/vi/MZzFggYn-SA/maxresdefault.jpg Top-N per Group — The RANK / ROW_NUMBER Trap The single most-asked SQL interview question — with the three subtle wrong-answer traps. FIND_VIDEO: search 'SQL top N per group ROW_NUMBER RANK' — recommended channel: LearnSQL. Aim for 10 min or under. https://www.youtube.com/embed/MZzFggYn-SA 2026-05-25T18:18:56.747Z 600 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m00-business-sql-patterns/anomaly-detection-in-sql-z-scores-and-iqr https://i.ytimg.com/vi/XzEXB12N1xs/maxresdefault.jpg Anomaly Detection in SQL — Z-Scores and IQR Flag the day that doesn't belong, in one query, no Python. FIND_VIDEO: search 'SQL anomaly detection z-score window' — recommended channel: Modern SQL. Aim for 11 min or under. https://www.youtube.com/embed/XzEXB12N1xs 2026-05-25T18:18:56.747Z 660 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m01-interview-sql-patterns/the-nth-highest-salary-problem https://i.ytimg.com/vi/RbKZmO8a-yc/maxresdefault.jpg The Nth Highest Salary Problem The most-asked SQL interview question of all time. Five wrong answers, two right ones. FIND_VIDEO: search 'nth highest salary SQL leetcode' — recommended channel: Joma Tech / Alex Freberg. Aim for 9 min or under. https://www.youtube.com/embed/RbKZmO8a-yc 2026-05-25T18:18:56.747Z 540 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m01-interview-sql-patterns/consecutive-days-sessions-gaps-and-islands https://i.ytimg.com/vi/ffNngUTqYBM/maxresdefault.jpg Consecutive Days, Sessions — Gaps and Islands The pattern behind 'consecutive logins', 'session detection', 'streaks' — one of the SQL world's named techniques. FIND_VIDEO: search 'SQL gaps and islands consecutive days' — recommended channel: Itzik Ben-Gan / Modern SQL. Aim for 12 min or under. https://www.youtube.com/embed/ffNngUTqYBM 2026-05-25T18:18:56.747Z 720 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m01-interview-sql-patterns/pivot-using-case-when-cross-database-compatibility https://i.ytimg.com/vi/-ho4MmSIaW4/maxresdefault.jpg Pivot Using CASE WHEN — Cross-Database Compatibility PIVOT is vendor-specific. CASE WHEN works everywhere. Here's the canonical pattern. FIND_VIDEO: search 'SQL pivot CASE WHEN tutorial' — recommended channel: Alex Freberg / EverSQL. Aim for 9 min or under. https://www.youtube.com/embed/-ho4MmSIaW4 2026-05-25T18:18:56.747Z 540 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m01-interview-sql-patterns/recursive-ctes-org-charts-and-hierarchies https://i.ytimg.com/vi/Szs7i8CgGhg/maxresdefault.jpg Recursive CTEs — Org Charts and Hierarchies The one SQL feature most analysts never use — and the one that solves 'show me all descendants' in 10 lines. FIND_VIDEO: search 'recursive CTE SQL hierarchical query' — recommended channel: Modern SQL / Itzik Ben-Gan. Aim for 11 min or under. https://www.youtube.com/embed/Szs7i8CgGhg 2026-05-25T18:18:56.747Z 660 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m01-interview-sql-patterns/custom-date-buckets-fiscal-weeks-and-rolling-windows https://i.ytimg.com/vi/dhfdHjAiNNY/maxresdefault.jpg Custom Date Buckets — Fiscal Weeks and Rolling Windows When DATE_TRUNC isn't enough — custom fiscal calendars, rolling buckets, ISO weeks. FIND_VIDEO: search 'SQL date bucketing fiscal calendar' — recommended channel: EverSQL. Aim for 10 min or under. https://www.youtube.com/embed/dhfdHjAiNNY 2026-05-25T18:18:56.747Z 600 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m01-interview-sql-patterns/except-intersect-union-for-diffs-and-dedup https://i.ytimg.com/vi/gjZwrbq-4YE/maxresdefault.jpg EXCEPT, INTERSECT, UNION — For Diffs and Dedup When self-joins are overkill — the set operations every analyst should reach for. FIND_VIDEO: search 'SQL EXCEPT INTERSECT UNION ALL' — recommended channel: Modern SQL. Aim for 9 min or under. https://www.youtube.com/embed/gjZwrbq-4YE 2026-05-25T18:18:56.747Z 540 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m02-performance-query-reading/explain-for-analysts-just-enough-to-read-one https://i.ytimg.com/vi/P7EUFtjeAmI/maxresdefault.jpg EXPLAIN for Analysts — Just Enough to Read One You don't need to be a DBA. You need to recognize 5 patterns in an EXPLAIN plan that tell you why your query is slow. FIND_VIDEO: search 'EXPLAIN ANALYZE postgres tutorial analyst' — recommended channel: Crunchy Data / EverSQL. Aim for 10 min or under. https://www.youtube.com/embed/P7EUFtjeAmI 2026-05-25T18:18:56.747Z 600 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m02-performance-query-reading/the-5-most-common-reasons-your-sql-is-slow https://i.ytimg.com/vi/je8klO09xH8/maxresdefault.jpg The 5 Most Common Reasons Your SQL Is Slow Walk through the five patterns that account for ~80% of slow analyst queries. FIND_VIDEO: search 'why is my SQL query slow common reasons' — recommended channel: EverSQL / Crunchy Data. Aim for 11 min or under. https://www.youtube.com/embed/je8klO09xH8 2026-05-25T18:18:56.747Z 660 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m02-performance-query-reading/cte-vs-subquery-vs-temp-table-when-to-use-each https://i.ytimg.com/vi/LJC8277LONg/maxresdefault.jpg CTE vs Subquery vs Temp Table — When to Use Each Three patterns, three performance profiles. Most analysts pick one and use it for everything — wrong. FIND_VIDEO: search 'CTE vs subquery vs temp table performance' — recommended channel: Modern SQL. Aim for 10 min or under. https://www.youtube.com/embed/LJC8277LONg 2026-05-25T18:18:56.747Z 600 https://www.topfolio.in/courses/sql-interview-case-lab/sql-interview-case-lab-m02-performance-query-reading/indexes-for-analysts-what-to-know https://i.ytimg.com/vi/0UxHG8zJ3F4/maxresdefault.jpg Indexes for Analysts — What to Know You're not a DBA. But knowing 6 index facts will speed up half your queries. FIND_VIDEO: search 'database index analyst tutorial' — recommended channel: EverSQL / Crunchy Data. Aim for 10 min or under. https://www.youtube.com/embed/0UxHG8zJ3F4 2026-05-25T18:18:56.747Z 600 https://www.topfolio.in/courses/da-interview-prep/da-interview-prep-m00-technical-interview-patterns/sql-interview-patterns-top-10-question-types https://i.ytimg.com/vi/Lb3vfuew7Gk/maxresdefault.jpg SQL Interview Patterns — Top 10 Question Types The 10 SQL question patterns that show up in 80% of analytics interviews. Learn the pattern, not the question. FIND_VIDEO: search 'top 10 SQL interview questions data analyst' — recommended channel: Data With Mo / Strata Scratch. Keep it under 12 min. https://www.youtube.com/embed/Lb3vfuew7Gk 2026-05-25T18:21:49.764Z 720 https://www.topfolio.in/courses/da-interview-prep/da-interview-prep-m00-technical-interview-patterns/the-analytics-case-study-walking-through-without-freezing https://i.ytimg.com/vi/uJO4ZMB4QZw/maxresdefault.jpg The Analytics Case Study — Walking Through Without Freezing The structured way to answer 'how would you investigate X?' questions — without freezing in front of the interviewer. FIND_VIDEO: search 'data analyst case study interview walkthrough' — recommended channel: Strata Scratch / Exponent. Keep it under 14 min. https://www.youtube.com/embed/uJO4ZMB4QZw 2026-05-25T18:21:49.764Z 840 https://www.topfolio.in/courses/da-interview-prep/da-interview-prep-m00-technical-interview-patterns/behavioral-questions-star-format-that-doesn-t-sound-robotic https://i.ytimg.com/vi/dRqN4BuhCHU/maxresdefault.jpg Behavioral Questions — STAR Format That Doesn't Sound Robotic STAR (Situation, Task, Action, Result) — used by every interviewer at FAANG-tier companies. Without sounding scripted. FIND_VIDEO: search 'STAR method behavioral interview data analyst' — recommended channel: Coursera Career / Indeed Career Guide. Keep it under 10 min. https://www.youtube.com/embed/dRqN4BuhCHU 2026-05-25T18:21:49.764Z 600 https://www.topfolio.in/courses/git-for-analysts/git-for-analysts-m00-git-github-and-a-polished-repo/using-git-with-visual-studio-code-official-beginner-tutorial https://i.ytimg.com/vi/i_23KUAEtUM/maxresdefault.jpg Using Git with Visual Studio Code (Official Beginner Tutorial) Official beginner tutorial from Microsoft on using Git with VS Code. https://www.youtube.com/embed/i_23KUAEtUM 2026-05-25T18:24:23.973Z 720 https://www.topfolio.in/courses/git-for-analysts/git-for-analysts-m00-git-github-and-a-polished-repo/using-git-github-in-vscode-stage-commit-and-push https://i.ytimg.com/vi/z5jZ9lrSpqk/maxresdefault.jpg Using Git & GitHub in VSCode: Stage, Commit, and Push A practical walkthrough of the Git workflow inside VS Code — stage, commit, and push. https://www.youtube.com/embed/z5jZ9lrSpqk 2026-07-18T09:22:38.975Z 600 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m00-foundations-why-models-matter/why-data-modeling-exists-oltp-vs-olap https://i.ytimg.com/vi/6-VVu68hbgw/maxresdefault.jpg Why Data Modeling Exists — OLTP vs OLAP One database can't serve both transactions and analytics well. This is why data warehouses exist. FIND_VIDEO: search 'OLTP vs OLAP data warehouse' — recommended channel: Kahan Data Solutions / Seattle Data Guy. Aim for 11 min or under. https://www.youtube.com/embed/6-VVu68hbgw 2026-05-25T18:37:55.858Z 300 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m00-foundations-why-models-matter/normalization-101-1nf-2nf-3nf-without-the-textbook https://i.ytimg.com/vi/GFQaEYEc8_8/maxresdefault.jpg Database Normalization — 1NF Through 5NF (and When to Stop) The three normal forms in plain English, with the warehousing context most tutorials miss. FIND_VIDEO: search 'normalization 1NF 2NF 3NF tutorial' — recommended channel: Decomplexify. Aim for 12 min or under. https://www.youtube.com/embed/GFQaEYEc8_8 2026-05-25T18:37:55.858Z 1740 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m00-foundations-why-models-matter/the-cost-of-bad-models-three-war-stories https://i.ytimg.com/vi/Zc6KSrRVsH8/maxresdefault.jpg Enterprise Modeling Paradigms — Kimball, Inmon, Data Vault & OBT What goes wrong when you don't model: slow dashboards, inconsistent metrics, and a 6-month refactor. FIND_VIDEO: search 'data modeling mistakes warehouse postmortem' — recommended channel: Seattle Data Guy / Kahan Data Solutions. Aim for 12 min or under. https://www.youtube.com/embed/Zc6KSrRVsH8 2026-05-25T18:37:55.858Z 780 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m00-foundations-why-models-matter/source-staging-marts-the-modern-layered-approach https://i.ytimg.com/vi/c412PUDJVAU/maxresdefault.jpg Layered Lakehouse Architecture — Bronze, Silver, Gold & Modern Marts The architectural pattern almost every modern warehouse uses, and why each layer earns its keep. FIND_VIDEO: search 'dbt layered architecture staging marts' — recommended channel: dbt Labs / Kahan Data Solutions. Aim for 11 min or under. https://www.youtube.com/embed/c412PUDJVAU 2026-05-25T18:37:55.858Z 900 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m01-dimensional-modeling-in-practice/star-schema-the-default-analytics-layout https://i.ytimg.com/vi/gRE3E7VUzRU/maxresdefault.jpg Star Schema — The Default Analytics Layout One fact table, many dimensions, one query pattern. The shape every analytics-engineering interview asks about. FIND_VIDEO: search 'star schema explained Kimball' — recommended channel: Kahan Data Solutions / Kimball Group. Aim for 11 min or under. https://www.youtube.com/embed/gRE3E7VUzRU 2026-05-25T18:37:55.858Z 1020 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m01-dimensional-modeling-in-practice/fact-tables-grain-additivity-and-measures https://i.ytimg.com/vi/bNuWBZIItko/maxresdefault.jpg Fact Tables — Grain, Additivity, and Measures The single most important decision in dimensional modeling: what does one row mean? FIND_VIDEO: search 'fact table grain Kimball' — recommended channel: Kahan Data Solutions / Kimball Group. Aim for 11 min or under. https://www.youtube.com/embed/bNuWBZIItko 2026-05-25T18:37:55.858Z 420 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m01-dimensional-modeling-in-practice/dimensions-conformed-junk-and-role-playing https://i.ytimg.com/vi/cYxJl4eR-Mg/maxresdefault.jpg Dimensions — Conformed, Junk, and Role-Playing The dimension design patterns Kimball named — and you'll see in every real warehouse. FIND_VIDEO: search 'conformed dimensions Kimball role playing' — recommended channel: Kahan Data Solutions / Kimball Group. Aim for 11 min or under. https://www.youtube.com/embed/cYxJl4eR-Mg 2026-05-25T18:37:55.858Z 1680 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m01-dimensional-modeling-in-practice/slowly-changing-dimensions-scds https://i.ytimg.com/vi/1JswR_4XUdU/maxresdefault.jpg Slowly Changing Dimensions (SCDs) How dimensions change over time — and the three (well, six) strategies for handling history. FIND_VIDEO: search 'slowly changing dimensions SCD type 2' — recommended channel: Kahan Data Solutions / Kimball Group. Aim for 12 min or under. https://www.youtube.com/embed/1JswR_4XUdU 2026-05-25T18:37:55.858Z 420 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m01-dimensional-modeling-in-practice/snowflake-schema-when-to-extend-beyond-star https://i.ytimg.com/vi/4dEKvxEy9Oo/maxresdefault.jpg Snowflake Schema — When to Extend Beyond Star The star schema's normalized cousin. Rarely the right answer — but you'll meet it. FIND_VIDEO: search 'snowflake schema vs star schema' — recommended channel: Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/4dEKvxEy9Oo 2026-05-25T18:37:55.858Z 660 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m02-modern-warehouse-engines-performance/columnar-vs-row-storage-why-it-changes-everything https://i.ytimg.com/vi/CNhi6KdMKj8/maxresdefault.jpg Columnar vs Row Storage — Why It Changes Everything The single architecture difference that makes warehouses fast and OLTP databases slow at analytics. FIND_VIDEO: search 'columnar vs row storage analytics' — recommended channel: Snowflake / BigQuery / Crunchy Data. Aim for 10 min or under. https://www.youtube.com/embed/CNhi6KdMKj8 2026-05-25T18:37:55.858Z 1020 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m02-modern-warehouse-engines-performance/partitioning-and-clustering-snowflake-bigquery-redshift https://i.ytimg.com/vi/m65UQMp6wMo/maxresdefault.jpg Partitioning & Clustering in Action — BigQuery Engine Deep-Dive The two physical-layout choices every warehouse table has. Get them right and queries are 100× faster. FIND_VIDEO: search 'partitioning clustering Snowflake BigQuery' — recommended channel: Snowflake / Google Cloud / Crunchy Data. Aim for 11 min or under. https://www.youtube.com/embed/m65UQMp6wMo 2026-05-25T18:37:55.858Z 420 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m02-modern-warehouse-engines-performance/one-big-table-obt-vs-star-the-modern-debate https://i.ytimg.com/vi/hky38oAP-uc/maxresdefault.jpg One Big Table (OBT) vs Star — The Modern Debate The modern provocation: just flatten everything into one wide table. When it's brilliant, when it's wrong. FIND_VIDEO: search 'one big table OBT vs star schema modern data stack' — recommended channel: dbt Labs / Roche's Maxim. Aim for 11 min or under. https://www.youtube.com/embed/hky38oAP-uc 2026-05-25T18:37:55.858Z 360 https://www.topfolio.in/courses/data-modeling-warehousing-fundamentals/data-modeling-warehousing-fundamentals-m02-modern-warehouse-engines-performance/surrogate-keys-vs-natural-keys https://i.ytimg.com/vi/r21LxKeaP8w/maxresdefault.jpg Surrogate Keys vs Natural Keys The key-strategy decision every dimension and fact lives with. Get it wrong and SCDs are broken from day one. FIND_VIDEO: search 'surrogate key vs natural key warehouse' — recommended channel: Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/r21LxKeaP8w 2026-05-25T18:37:55.858Z 780 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m00-dbt-foundations-what-and-why/why-dbt-exists-the-analytics-engineering-wave https://i.ytimg.com/vi/5rNquRnNb4E/maxresdefault.jpg Why dbt Exists — The Analytics Engineering Wave The problem dbt solves: SQL scripts everywhere, no lineage, no tests, no docs. The fix: treat SQL like code. FIND_VIDEO: search 'why dbt analytics engineering' — recommended channel: dbt Labs / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/5rNquRnNb4E 2026-05-25T20:31:11.702Z 900 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m00-dbt-foundations-what-and-why/the-dbt-project-structure-a-tour https://i.ytimg.com/vi/2dYDS4OQbT0/maxresdefault.jpg The dbt Project Structure — A Tour Walking through dbt_project.yml, models/, tests/, macros/, seeds/, snapshots/. Where everything lives and why. FIND_VIDEO: search 'dbt project structure folders' — recommended channel: dbt Labs. Aim for 10 min or under. https://www.youtube.com/embed/2dYDS4OQbT0 2026-05-25T20:31:11.702Z 1200 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m00-dbt-foundations-what-and-why/models-the-sql-file-as-the-atom https://i.ytimg.com/vi/UbSvi3hN02U/maxresdefault.jpg Models — The SQL File as the Atom One file, one SELECT, one materialized table or view. The dbt model is the unit of work. FIND_VIDEO: search 'dbt model SQL file basics' — recommended channel: dbt Labs. Aim for 9 min or under. https://www.youtube.com/embed/UbSvi3hN02U 2026-05-25T20:31:11.702Z 840 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m00-dbt-foundations-what-and-why/ref-and-lineage-how-dbt-wires-the-dag https://i.ytimg.com/vi/iGHHM6h_qyA/maxresdefault.jpg ref() and Lineage — How dbt Wires the DAG The single most important dbt function. How ref() builds the DAG, what it resolves to, and why hardcoded table names are a sin. FIND_VIDEO: search 'dbt ref function DAG lineage' — recommended channel: dbt Labs. Aim for 10 min or under. https://www.youtube.com/embed/iGHHM6h_qyA 2026-05-25T20:31:11.702Z 180 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m01-building-a-real-dbt-project/sources-and-the-staging-layer https://i.ytimg.com/vi/M0iRY80ESHM/maxresdefault.jpg Sources and the Staging Layer Where the work actually starts: defining sources, writing stg_ models, the conventions every team follows. FIND_VIDEO: search 'dbt staging layer sources tutorial' — recommended channel: dbt Labs / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/M0iRY80ESHM 2026-05-25T20:31:11.702Z 600 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m01-building-a-real-dbt-project/materializations-view-table-incremental-ephemeral https://i.ytimg.com/vi/Gvc0zbW83Lk/maxresdefault.jpg Materializations — view, table, incremental, ephemeral The four built-in materializations and the cost model behind picking each. FIND_VIDEO: search 'dbt materializations table view incremental' — recommended channel: dbt Labs. Aim for 11 min or under. https://www.youtube.com/embed/Gvc0zbW83Lk 2026-05-25T20:31:11.702Z 1260 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m01-building-a-real-dbt-project/incremental-models-in-detail https://i.ytimg.com/vi/-9RzZRkHay4/maxresdefault.jpg Incremental Models in Detail The most-used and most-misused materialization. Patterns that work, gotchas that bite. FIND_VIDEO: search 'dbt incremental model unique_key' — recommended channel: dbt Labs. Aim for 11 min or under. https://www.youtube.com/embed/-9RzZRkHay4 2026-05-25T20:31:11.702Z 660 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m01-building-a-real-dbt-project/tests-built-in-and-custom https://i.ytimg.com/vi/f6snuMeZWS0/maxresdefault.jpg Tests — Built-in and Custom Generic tests in YAML, custom SQL tests, what to test for vs what to skip. FIND_VIDEO: search 'dbt tests unique not_null relationships' — recommended channel: dbt Labs. Aim for 10 min or under. https://www.youtube.com/embed/f6snuMeZWS0 2026-05-25T20:31:11.702Z 960 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m01-building-a-real-dbt-project/documentation-descriptions-dbt-docs-and-why-it-matters https://i.ytimg.com/vi/71UPBZmLnBM/maxresdefault.jpg Documentation — Descriptions, dbt docs, and Why It Matters Auto-generated docs from your YAML. The highest-leverage 30 seconds you'll spend. FIND_VIDEO: search 'dbt documentation descriptions docs generate' — recommended channel: dbt Labs. Aim for 9 min or under. https://www.youtube.com/embed/71UPBZmLnBM 2026-05-25T20:31:11.702Z 540 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m02-advanced-dbt/macros-and-jinja https://i.ytimg.com/vi/i38--1pNDUw/maxresdefault.jpg Macros and Jinja Reusable SQL via Jinja templating. The DRY principle for SQL. FIND_VIDEO: search 'dbt macros jinja tutorial' — recommended channel: dbt Labs. Aim for 10 min or under. https://www.youtube.com/embed/i38--1pNDUw 2026-05-25T20:31:11.702Z 1800 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m02-advanced-dbt/snapshots-dbt-s-scd-type-2 https://i.ytimg.com/vi/w9CEry_y53k/maxresdefault.jpg Snapshots — dbt's SCD Type 2 dbt's built-in tool for tracking dimension changes over time. FIND_VIDEO: search 'dbt snapshots SCD type 2' — recommended channel: dbt Labs. Aim for 11 min or under. https://www.youtube.com/embed/w9CEry_y53k 2026-05-25T20:31:11.702Z 720 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m02-advanced-dbt/packages-dbt-utils-and-the-ecosystem https://i.ytimg.com/vi/gTnS5YQyELI/maxresdefault.jpg Packages — dbt_utils and the Ecosystem Don't reinvent — install dbt_utils and 80% of common macros are there. FIND_VIDEO: search 'dbt packages dbt_utils tutorial' — recommended channel: dbt Labs. Aim for 9 min or under. https://www.youtube.com/embed/gTnS5YQyELI 2026-05-25T20:31:11.702Z 180 https://www.topfolio.in/courses/dbt-fundamentals/dbt-fundamentals-m02-advanced-dbt/production-dbt-ci-cd-environments-scheduling https://i.ytimg.com/vi/lI7HFB2qKGg/maxresdefault.jpg Production dbt — CI/CD, Environments, Scheduling From local dev to production: environments, scheduled runs, CI checks, alerts. FIND_VIDEO: search 'dbt production CI/CD GitHub Actions' — recommended channel: dbt Labs. Aim for 11 min or under. https://www.youtube.com/embed/lI7HFB2qKGg 2026-05-25T20:31:11.702Z 1140 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m00-foundations-from-intuition-to-mathematics/from-da-stats-to-ds-stats-why-the-math-matters https://i.ytimg.com/vi/1YE-pxKXCM0/maxresdefault.jpg From DA Stats to DS Stats — Why the Math Matters The bridge from 'I read a dashboard' to 'I can write the maths'. What distinguishes DS-level statistics. FIND_VIDEO: search 'probability random variable expectation tutorial' — recommended channel: StatQuest / 3Blue1Brown. Aim for 10 min or under. https://www.youtube.com/embed/1YE-pxKXCM0 2026-05-26T08:08:16.294Z 360 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m00-foundations-from-intuition-to-mathematics/probability-distributions-discrete-and-continuous https://i.ytimg.com/vi/oI3hZJqXJuc/maxresdefault.jpg Probability Distributions — Discrete and Continuous The dozen distributions DS papers actually use. When each one shows up. FIND_VIDEO: search 'probability distributions normal binomial poisson' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/oI3hZJqXJuc 2026-05-26T08:08:16.294Z 300 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m00-foundations-from-intuition-to-mathematics/sampling-distributions-and-the-clt https://i.ytimg.com/vi/YAlJCEDH2uY/maxresdefault.jpg Sampling Distributions and the CLT Why everything is normal eventually. The most important theorem in applied statistics. FIND_VIDEO: search 'central limit theorem sampling distribution' — recommended channel: StatQuest / 3Blue1Brown. Aim for 11 min or under. https://www.youtube.com/embed/YAlJCEDH2uY 2026-05-26T08:08:16.294Z 480 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m00-foundations-from-intuition-to-mathematics/standard-errors-and-estimators https://i.ytimg.com/vi/XNgt7F6FqDU/maxresdefault.jpg Standard Errors and Estimators Where the precision of any statistic comes from. The vocabulary every DS interview probes. FIND_VIDEO: search 'standard error estimator unbiased' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/XNgt7F6FqDU 2026-05-26T08:08:16.294Z 720 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m01-inference-hypothesis-testing-and-beyond/hypothesis-testing-the-framework https://i.ytimg.com/vi/0oc49DyA3hU/maxresdefault.jpg Hypothesis Testing — The Framework The mental model behind every test. Null, alternative, test statistic, p-value, decision. FIND_VIDEO: search 'hypothesis testing framework null hypothesis' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/0oc49DyA3hU 2026-05-26T08:08:16.294Z 900 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m01-inference-hypothesis-testing-and-beyond/t-tests-z-tests-and-when-to-use-each https://i.ytimg.com/vi/nnBJeb_I-q8/maxresdefault.jpg T-Tests, Z-Tests, and When to Use Each The most-used tests in practice. The choice of which is more about sample size and known variance than anything else. FIND_VIDEO: search 't-test z-test paired tutorial' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/nnBJeb_I-q8 2026-05-26T08:08:16.294Z 300 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m01-inference-hypothesis-testing-and-beyond/chi-square-and-categorical-data https://i.ytimg.com/vi/_AWQ4Myxlcg/maxresdefault.jpg Chi-Square and Categorical Data The right test when both variables are categorical. Two forms — independence and goodness-of-fit. FIND_VIDEO: search 'chi-square test independence goodness of fit' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/_AWQ4Myxlcg 2026-05-26T08:08:16.294Z 1260 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m01-inference-hypothesis-testing-and-beyond/multiple-testing-and-the-family-wise-error-rate https://i.ytimg.com/vi/K8LQSvtjcEo/maxresdefault.jpg Multiple Testing and the Family-Wise Error Rate The single most-overlooked problem in DS practice. If you run 20 tests at α=0.05, you'll average one false positive — by design. FIND_VIDEO: search 'multiple testing Bonferroni FDR correction' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/K8LQSvtjcEo 2026-05-26T08:08:16.294Z 1080 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m01-inference-hypothesis-testing-and-beyond/bootstrap-inference-without-distributional-assumptions https://i.ytimg.com/vi/Xz0x-8-cgaQ/maxresdefault.jpg Bootstrap — Inference Without Distributional Assumptions The single most powerful tool for non-parametric inference. Works on anything where formulas don't exist. FIND_VIDEO: search 'bootstrap statistics tutorial' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/Xz0x-8-cgaQ 2026-05-26T08:08:16.294Z 540 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m02-modeling-regression-and-beyond/linear-regression-the-math-not-just-the-api https://i.ytimg.com/vi/7ArmBVF2dCs/maxresdefault.jpg Linear Regression — The Math, Not Just the API What `LinearRegression().fit()` actually does, and the assumptions that make it valid. FIND_VIDEO: search 'linear regression OLS assumptions' — recommended channel: StatQuest / 3Blue1Brown. Aim for 11 min or under. https://www.youtube.com/embed/7ArmBVF2dCs 2026-05-26T08:08:16.294Z 1620 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m02-modeling-regression-and-beyond/logistic-regression-and-the-glm-family https://i.ytimg.com/vi/yIYKR4sgzI8/maxresdefault.jpg Logistic Regression and the GLM Family The link between linear regression and binary classification. Plus the GLM framework that generalizes to counts, proportions, durations. FIND_VIDEO: search 'logistic regression GLM tutorial' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/yIYKR4sgzI8 2026-05-26T08:08:16.294Z 540 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m02-modeling-regression-and-beyond/bayesian-inference-the-update-game https://i.ytimg.com/vi/9wCnvr7Xw4E/maxresdefault.jpg Bayesian Inference — The Update Game Stop hiding from Bayes. Prior + likelihood = posterior. The update rule that powers modern probabilistic modeling. FIND_VIDEO: search 'Bayesian inference prior posterior' — recommended channel: 3Blue1Brown / StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/9wCnvr7Xw4E 2026-05-26T08:08:16.294Z 840 https://www.topfolio.in/courses/statistics-for-data-science/statistics-for-data-science-m02-modeling-regression-and-beyond/causal-inference-primer-beyond-correlation https://i.ytimg.com/vi/2iAtcVMq3fw/maxresdefault.jpg Causal Inference Primer — Beyond Correlation The single biggest leap from analytics to data science. Correlation ≠ causation, and how to reason about WHY. FIND_VIDEO: search 'causal inference confounders DAG' — recommended channel: StatQuest / 3Blue1Brown. Aim for 11 min or under. https://www.youtube.com/embed/2iAtcVMq3fw 2026-05-26T08:08:16.294Z 420 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m00-the-mental-model/what-ml-is-and-isn-t-a-practical-definition https://i.ytimg.com/vi/Gv9_4yMHFhI/maxresdefault.jpg What ML Is (and Isn't) — A Practical Definition ML is statistical pattern recognition. Knowing what it isn't (magic, AGI, causality) is half the value. FIND_VIDEO: search 'machine learning vs statistics vs AI' — recommended channel: StatQuest / Andrew Ng. Aim for 10 min or under. https://www.youtube.com/embed/Gv9_4yMHFhI 2026-05-26T08:47:33.357Z 780 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m00-the-mental-model/the-bias-variance-tradeoff https://i.ytimg.com/vi/Unol0NZtuRo/maxresdefault.jpg The Bias-Variance Tradeoff Why models can be 'too simple' or 'too complex' — and what to do when you suspect one. FIND_VIDEO: search 'bias variance tradeoff explained' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/Unol0NZtuRo 2026-05-26T08:47:33.357Z 1020 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m00-the-mental-model/train-validation-test-the-three-split-discipline https://i.ytimg.com/vi/hhFSzkneyAU/maxresdefault.jpg Train/Validation/Test — The Three-Split Discipline The single piece of ML discipline that separates honest models from theatre. FIND_VIDEO: search 'train validation test split machine learning' — recommended channel: StatQuest / Andrew Ng. Aim for 10 min or under. https://www.youtube.com/embed/hhFSzkneyAU 2026-05-26T08:47:33.357Z 240 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m00-the-mental-model/cross-validation-when-data-is-scarce https://i.ytimg.com/vi/fSytzGwwBVw/maxresdefault.jpg Cross-Validation — When Data is Scarce Make every row count. K-fold and its variants for robust evaluation. FIND_VIDEO: search 'cross validation k-fold stratified' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/fSytzGwwBVw 2026-05-26T08:47:33.357Z 360 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m01-supervised-learning/decision-trees-and-random-forests https://i.ytimg.com/vi/J4Wdy0Wc_xQ/maxresdefault.jpg Decision Trees and Random Forests The model that dominates tabular ML. Trees, then forests, then why bagging works. FIND_VIDEO: search 'decision tree random forest tutorial' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/J4Wdy0Wc_xQ 2026-05-26T08:47:33.357Z 600 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m01-supervised-learning/gradient-boosting-xgboost-lightgbm-catboost https://i.ytimg.com/vi/3CC4N4z3GJc/maxresdefault.jpg Gradient Boosting — XGBoost, LightGBM, CatBoost The current dominant family for tabular ML. The intuition behind GBM and why the three libraries exist. FIND_VIDEO: search 'gradient boosting xgboost lightgbm explained' — recommended channel: StatQuest / 3Blue1Brown. Aim for 12 min or under. https://www.youtube.com/embed/3CC4N4z3GJc 2026-05-26T08:47:33.357Z 960 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m01-supervised-learning/regularization-l1-l2-early-stopping https://i.ytimg.com/vi/Q81RR3yKn30/maxresdefault.jpg Regularization — L1, L2, Early Stopping The three techniques that prevent overfitting. When and how to use each. FIND_VIDEO: search 'regularization L1 L2 dropout machine learning' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/Q81RR3yKn30 2026-05-26T08:47:33.357Z 1200 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m01-supervised-learning/feature-engineering-and-categorical-encoding https://i.ytimg.com/vi/aVotOH_bUOY/maxresdefault.jpg Feature Engineering and Categorical Encoding Models are only as good as their features. The encoding choices and transformations that move the needle. FIND_VIDEO: search 'feature engineering categorical encoding tutorial' — recommended channel: Kaggle / Andrew Ng. Aim for 11 min or under. https://www.youtube.com/embed/aVotOH_bUOY 2026-05-26T08:47:33.357Z 540 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m01-supervised-learning/class-imbalance-smote-class-weights-threshold-adjustment https://i.ytimg.com/vi/K-Q6ahRqxck/maxresdefault.jpg Class Imbalance — SMOTE, Class Weights, Threshold Adjustment When 1% of your data is the class you care about. Three strategies for handling it. FIND_VIDEO: search 'class imbalance SMOTE class weight' — recommended channel: StatQuest. Aim for 10 min or under. https://www.youtube.com/embed/K-Q6ahRqxck 2026-05-26T08:47:33.357Z 1080 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m02-evaluation-leakage-and-unsupervised/evaluation-metrics-auc-f1-precision-recall-brier https://i.ytimg.com/vi/4jRBRDbJemM/maxresdefault.jpg Evaluation Metrics — AUC, F1, Precision/Recall, Brier No metric is universally right. Pick by what the model will be used for. FIND_VIDEO: search 'ROC AUC F1 precision recall explained' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/4jRBRDbJemM 2026-05-26T08:47:33.357Z 960 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m02-evaluation-leakage-and-unsupervised/data-leakage-the-1-ml-bug https://i.ytimg.com/vi/YkpeXxzWEH8/maxresdefault.jpg Data Leakage — The #1 ML Bug The reason your model is too good to be true is almost always leakage. Spot it before deployment. FIND_VIDEO: search 'data leakage machine learning examples' — recommended channel: Kaggle / StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/YkpeXxzWEH8 2026-05-26T08:47:33.357Z 540 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m02-evaluation-leakage-and-unsupervised/hyperparameter-tuning-grid-random-bayesian https://i.ytimg.com/vi/yVM3S0wpLJg/maxresdefault.jpg Hyperparameter Tuning — Grid, Random, Bayesian Three strategies: brute force, random, smart. When each is right and where Optuna fits. FIND_VIDEO: search 'hyperparameter tuning bayesian optimization' — recommended channel: StatQuest / sklearn docs. Aim for 10 min or under. https://www.youtube.com/embed/yVM3S0wpLJg 2026-05-26T08:47:33.357Z 1200 https://www.topfolio.in/courses/ml-foundations/ml-foundations-m02-evaluation-leakage-and-unsupervised/clustering-and-dimensionality-reduction https://i.ytimg.com/vi/4b5d3muPQmA/maxresdefault.jpg Clustering and Dimensionality Reduction Unsupervised: find structure without labels. The four most-used techniques. FIND_VIDEO: search 'k-means hierarchical PCA UMAP' — recommended channel: StatQuest. Aim for 11 min or under. https://www.youtube.com/embed/4b5d3muPQmA 2026-05-26T08:47:33.357Z 540 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m00-from-notebook-to-production-the-mental-model/why-ml-projects-fail-in-production https://i.ytimg.com/vi/iGrbgQKzCfk/maxresdefault.jpg Why ML Projects Fail in Production The recurring failure modes. Most aren't model accuracy problems — they're plumbing problems. FIND_VIDEO: search 'why machine learning projects fail production' — recommended channel: Chip Huyen / Made with ML. Aim for 10 min or under. https://www.youtube.com/embed/iGrbgQKzCfk 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m00-from-notebook-to-production-the-mental-model/reproducibility-data-code-environment-seed https://i.ytimg.com/vi/Z4unUK0vn4k/maxresdefault.jpg Reproducibility — Data, Code, Environment, Seed Four things that determine whether someone else can reproduce your model. Lock all four. FIND_VIDEO: search 'reproducibility machine learning experiments' — recommended channel: Made with ML / DVC. Aim for 10 min or under. https://www.youtube.com/embed/Z4unUK0vn4k 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m00-from-notebook-to-production-the-mental-model/feature-stores-why-they-matter https://i.ytimg.com/vi/0InBN_a4cQQ/maxresdefault.jpg Feature Stores — Why They Matter The single tool that solves the biggest production ML bug: training-serving skew. FIND_VIDEO: search 'feature store machine learning explained' — recommended channel: Feast / Tecton / Made with ML. Aim for 10 min or under. https://www.youtube.com/embed/0InBN_a4cQQ 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m00-from-notebook-to-production-the-mental-model/versioning-models-data-features https://i.ytimg.com/vi/RnYa3QsXRAc/maxresdefault.jpg Versioning — Models, Data, Features When something breaks in production, you need to know exactly which model, which data, which features. Versioning is the audit trail. FIND_VIDEO: search 'model versioning MLflow registry' — recommended channel: MLflow / Made with ML. Aim for 10 min or under. https://www.youtube.com/embed/RnYa3QsXRAc 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m01-serving-and-deployment/batch-vs-online-inference https://i.ytimg.com/vi/DnmWTIeQ7PM/maxresdefault.jpg Batch vs Online Inference Two serving patterns. The wrong choice causes 90% of avoidable infrastructure pain. FIND_VIDEO: search 'batch vs online inference machine learning' — recommended channel: Made with ML / Chip Huyen. Aim for 10 min or under. https://www.youtube.com/embed/DnmWTIeQ7PM 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m01-serving-and-deployment/building-a-prediction-service-the-fastapi-pattern https://i.ytimg.com/vi/Mw9etoRz0Ic/maxresdefault.jpg Building a Prediction Service — The FastAPI Pattern FastAPI + a Pydantic schema + a loaded model = production-grade prediction service. The standard pattern. FIND_VIDEO: search 'fastapi machine learning model serving' — recommended channel: FastAPI / Made with ML. Aim for 11 min or under. https://www.youtube.com/embed/Mw9etoRz0Ic 2026-05-26T09:45:23.569Z 660 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m01-serving-and-deployment/containerization-and-deployment-docker-kubernetes https://i.ytimg.com/vi/6WMXI0izClk/maxresdefault.jpg Containerization and Deployment (Docker, Kubernetes) Docker locks the environment; Kubernetes (or simpler alternatives) runs the container. The lightweight version of cloud-native ML. FIND_VIDEO: search 'docker machine learning deployment' — recommended channel: Made with ML / Docker docs. Aim for 11 min or under. https://www.youtube.com/embed/6WMXI0izClk 2026-05-26T09:45:23.569Z 660 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m01-serving-and-deployment/scaling-autoscaling-latency-budgets-caching https://i.ytimg.com/vi/FfDI08sgrYY/maxresdefault.jpg Scaling — Autoscaling, Latency Budgets, Caching How to keep predictions fast and the bill manageable as traffic grows. FIND_VIDEO: search 'ML service latency caching autoscaling' — recommended channel: Made with ML / Chip Huyen. Aim for 10 min or under. https://www.youtube.com/embed/FfDI08sgrYY 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m01-serving-and-deployment/a-b-testing-and-champion-challenger https://i.ytimg.com/vi/6BERouEM_bA/maxresdefault.jpg A/B Testing and Champion-Challenger The discipline of deploying new models. Never swap; always test. FIND_VIDEO: search 'ml model ab test champion challenger' — recommended channel: Statsig / Made with ML. Aim for 10 min or under. https://www.youtube.com/embed/6BERouEM_bA 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m02-monitoring-retraining-and-lifecycle/drift-detection-data-drift-vs-concept-drift https://i.ytimg.com/vi/tQjRQWfYQ10/maxresdefault.jpg Drift Detection — Data Drift vs Concept Drift Two distinct kinds of drift. Different symptoms, different fixes. FIND_VIDEO: search 'data drift concept drift machine learning' — recommended channel: Evidently / Made with ML. Aim for 10 min or under. https://www.youtube.com/embed/tQjRQWfYQ10 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m02-monitoring-retraining-and-lifecycle/performance-monitoring-when-labels-are-delayed https://i.ytimg.com/vi/SQ0jBwd_3kk/maxresdefault.jpg Performance Monitoring When Labels Are Delayed Most real ML labels arrive in days, weeks, or months. Don't wait — use proxies. FIND_VIDEO: search 'ml monitoring delayed labels proxy metrics' — recommended channel: Made with ML / Chip Huyen. Aim for 10 min or under. https://www.youtube.com/embed/SQ0jBwd_3kk 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m02-monitoring-retraining-and-lifecycle/retraining-strategies-scheduled-triggered-continual https://i.ytimg.com/vi/vOImQ484oEI/maxresdefault.jpg Retraining Strategies — Scheduled, Triggered, Continual Three retraining patterns. Pick by your data velocity and drift rate. FIND_VIDEO: search 'retraining strategy scheduled triggered continual learning' — recommended channel: Made with ML / Chip Huyen. Aim for 10 min or under. https://www.youtube.com/embed/vOImQ484oEI 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/ml-in-practice/ml-in-practice-m02-monitoring-retraining-and-lifecycle/incidents-and-rollbacks-when-models-go-wrong https://i.ytimg.com/vi/1kJoULE4tPQ/maxresdefault.jpg Incidents and Rollbacks — When Models Go Wrong The plan you wish you had before the model started misbehaving in production. FIND_VIDEO: search 'ml incident response model rollback' — recommended channel: Made with ML / Chip Huyen. Aim for 10 min or under. https://www.youtube.com/embed/1kJoULE4tPQ 2026-05-26T09:45:23.569Z 600 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m00-llm-foundations-what-they-actually-are/what-llms-are-and-what-they-aren-t https://i.ytimg.com/vi/WMcwoIyK4DA/maxresdefault.jpg What LLMs Are (and What They Aren't) A practical definition. LLMs predict the next token; everything else is engineering on top of that. FIND_VIDEO: search 'what is a large language model how it works' — recommended channel: 3Blue1Brown / Andrej Karpathy. Aim for 11 min or under. https://www.youtube.com/embed/WMcwoIyK4DA 2026-05-26T15:44:19.018Z 660 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m00-llm-foundations-what-they-actually-are/the-pretraining-vs-fine-tuning-vs-prompting-spectrum https://i.ytimg.com/vi/Q-_D_2NWECE/maxresdefault.jpg The Pretraining vs Fine-tuning vs Prompting Spectrum Three ways to get an LLM to do what you want. Most teams pick the wrong one first. FIND_VIDEO: search 'LLM pretraining fine-tuning prompting comparison' — recommended channel: Andrej Karpathy / DeepLearning.AI. Aim for 10 min or under. https://www.youtube.com/embed/Q-_D_2NWECE 2026-05-26T15:44:19.018Z 600 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m00-llm-foundations-what-they-actually-are/how-to-compare-models-closed-vs-open-size-cost https://i.ytimg.com/vi/FbBNLYw_dRE/maxresdefault.jpg How to Compare Models — Closed vs Open, Size, Cost The 2026 model landscape. Closed (Claude, GPT, Gemini), open (Llama, Mistral, Qwen) — which to pick when. FIND_VIDEO: search 'claude vs gpt vs llama comparison 2026' — recommended channel: AI Engineer / Trelis Research. Aim for 11 min or under. https://www.youtube.com/embed/FbBNLYw_dRE 2026-05-26T15:44:19.018Z 660 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m00-llm-foundations-what-they-actually-are/tokens-context-windows-and-why-they-matter https://i.ytimg.com/vi/-uW5-TaVXu4/maxresdefault.jpg Tokens, Context Windows, and Why They Matter The fundamental constraint that shapes every LLM application: tokens in, tokens out, with a hard limit. FIND_VIDEO: search 'LLM context window tokens lost in middle' — recommended channel: AI Engineer / Greg Kamradt. Aim for 10 min or under. https://www.youtube.com/embed/-uW5-TaVXu4 2026-05-26T15:44:19.018Z 600 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m01-prompt-engineering-and-patterns/prompt-engineering-fundamentals https://i.ytimg.com/vi/1c9iyoVIwDs/maxresdefault.jpg Prompt Engineering Fundamentals What makes a good prompt — the practical version, not the philosophical one. FIND_VIDEO: search 'prompt engineering basics best practices' — recommended channel: DeepLearning.AI / Anthropic / Greg Brockman. Aim for 11 min or under. https://www.youtube.com/embed/1c9iyoVIwDs 2026-05-26T15:44:19.018Z 660 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m01-prompt-engineering-and-patterns/few-shot-chain-of-thought-and-structured-output https://i.ytimg.com/vi/sZIV7em3JA8/maxresdefault.jpg Few-Shot, Chain-of-Thought, and Structured Output Three patterns that handle 80% of production prompting needs. When each one wins. FIND_VIDEO: search 'few shot chain of thought prompting structured output' — recommended channel: DeepLearning.AI / Anthropic. Aim for 11 min or under. https://www.youtube.com/embed/sZIV7em3JA8 2026-05-26T15:44:19.018Z 660 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m01-prompt-engineering-and-patterns/tool-use-and-function-calling https://i.ytimg.com/vi/p0I-hwZSWMs/maxresdefault.jpg Tool Use and Function Calling Where LLMs become genuinely useful: when they can call functions, query databases, browse the web. FIND_VIDEO: search 'LLM tool use function calling agents' — recommended channel: Anthropic / Sam Witteveen / James Briggs. Aim for 11 min or under. https://www.youtube.com/embed/p0I-hwZSWMs 2026-05-26T15:44:19.018Z 660 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m01-prompt-engineering-and-patterns/prompt-caching-and-cost-optimization https://i.ytimg.com/vi/LFvw_xlj0LQ/maxresdefault.jpg Prompt Caching and Cost Optimization The single highest-ROI prompt engineering technique in 2026. Cache once, save 90%. FIND_VIDEO: search 'prompt caching anthropic openai cost optimization' — recommended channel: Anthropic / AI Engineer. Aim for 10 min or under. https://www.youtube.com/embed/LFvw_xlj0LQ 2026-05-26T15:44:19.018Z 600 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m01-prompt-engineering-and-patterns/common-prompt-engineering-anti-patterns https://i.ytimg.com/vi/dgt_Q_v0C7E/maxresdefault.jpg Common Prompt Engineering Anti-Patterns The five things that look smart but degrade prompt quality. Stop doing them. FIND_VIDEO: search 'prompt engineering mistakes anti patterns' — recommended channel: Anthropic / Greg Brockman / AI Engineer. Aim for 9 min or under. https://www.youtube.com/embed/dgt_Q_v0C7E 2026-05-26T15:44:19.018Z 540 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m02-rag-fine-tuning-and-evaluation/retrieval-augmented-generation-rag-foundations https://i.ytimg.com/vi/RosLeHGBLoY/maxresdefault.jpg Retrieval-Augmented Generation (RAG) Foundations The most-used LLM pattern in production. Give the LLM your data at query time. FIND_VIDEO: search 'RAG retrieval augmented generation tutorial' — recommended channel: James Briggs / Greg Kamradt / DeepLearning.AI. Aim for 11 min or under. https://www.youtube.com/embed/RosLeHGBLoY 2026-05-26T15:44:19.018Z 660 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m02-rag-fine-tuning-and-evaluation/embeddings-and-vector-databases https://i.ytimg.com/vi/EpmIIDC2Xgg/maxresdefault.jpg Embeddings and Vector Databases The pieces under RAG. What embeddings actually represent and how vector DBs serve them at scale. FIND_VIDEO: search 'embeddings vector database tutorial pinecone qdrant' — recommended channel: James Briggs / Pinecone. Aim for 10 min or under. https://www.youtube.com/embed/EpmIIDC2Xgg 2026-05-26T15:44:19.018Z 600 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m02-rag-fine-tuning-and-evaluation/when-to-fine-tune-and-when-not-to https://i.ytimg.com/vi/zYGDpG-pTho/maxresdefault.jpg When to Fine-tune (and When Not To) The fine-tuning decision matrix. Most teams reach for it too soon. FIND_VIDEO: search 'LLM fine tuning when to fine tune LoRA' — recommended channel: DeepLearning.AI / Anthropic / Trelis Research. Aim for 10 min or under. https://www.youtube.com/embed/zYGDpG-pTho 2026-05-26T15:44:19.018Z 600 https://www.topfolio.in/courses/llms-genai-for-practitioners/llms-genai-for-practitioners-m02-rag-fine-tuning-and-evaluation/evaluating-llm-outputs-the-hard-problem https://i.ytimg.com/vi/2SxduwUOU9k/maxresdefault.jpg Evaluating LLM Outputs — The Hard Problem LLMs produce open-ended outputs. Evaluating them requires more than accuracy. Here's what actually works. FIND_VIDEO: search 'LLM evaluation metrics RAG eval' — recommended channel: DeepLearning.AI / Greg Kamradt / AI Engineer. Aim for 10 min or under. https://www.youtube.com/embed/2SxduwUOU9k 2026-05-26T15:44:19.018Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m00-agent-foundations-and-langchain-basics/what-an-ai-agent-actually-is https://i.ytimg.com/vi/FwOTs4UxQS4/maxresdefault.jpg What an AI Agent Actually Is A practical definition. Strip away the hype: agents are LLMs that decide what to do next. FIND_VIDEO: search 'what is an AI agent definition explained' — recommended channel: LangChain / AI Engineer / Harrison Chase. Aim for 10 min or under. https://www.youtube.com/embed/FwOTs4UxQS4 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m00-agent-foundations-and-langchain-basics/langchain-in-2026-what-s-changed-what-s-stable https://i.ytimg.com/vi/Gi7nqB37WEY/maxresdefault.jpg LangChain in 2026 — What's Changed, What's Stable LangChain has evolved fast. Here's what's current, what's deprecated, and where to put your effort. FIND_VIDEO: search 'langchain 2026 LCEL latest version' — recommended channel: LangChain / Sam Witteveen / James Briggs. Aim for 11 min or under. https://www.youtube.com/embed/Gi7nqB37WEY 2026-05-26T17:19:34.482Z 660 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m00-agent-foundations-and-langchain-basics/building-your-first-chain-with-lcel https://i.ytimg.com/vi/LzxSY7197ns/maxresdefault.jpg Building Your First Chain with LCEL The pipe-based composition pattern. Once you see it, every LangChain example becomes readable. FIND_VIDEO: search 'LCEL LangChain Expression Language tutorial' — recommended channel: LangChain / Sam Witteveen. Aim for 10 min or under. https://www.youtube.com/embed/LzxSY7197ns 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m00-agent-foundations-and-langchain-basics/tools-toolkits-and-tool-calling-in-langchain https://i.ytimg.com/vi/HoonGqt7XpM/maxresdefault.jpg Tools, Toolkits, and Tool Calling in LangChain The @tool decorator and bind_tools API. The foundation for agentic behavior in LangChain. FIND_VIDEO: search 'langchain tools tool calling tutorial' — recommended channel: LangChain / Sam Witteveen / Greg Kamradt. Aim for 11 min or under. https://www.youtube.com/embed/HoonGqt7XpM 2026-05-26T17:19:34.482Z 660 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m01-langgraph-for-stateful-agents/why-langgraph-exists-the-limits-of-linear-chains https://i.ytimg.com/vi/e-GR3PlEOVU/maxresdefault.jpg Why LangGraph Exists — The Limits of Linear Chains LCEL handles linear chains beautifully. LangGraph handles everything LCEL can't — state, loops, branches that depend on dynamic conditions. FIND_VIDEO: search 'why LangGraph agent state machine' — recommended channel: LangChain / Harrison Chase / Sam Witteveen. Aim for 10 min or under. https://www.youtube.com/embed/e-GR3PlEOVU 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m01-langgraph-for-stateful-agents/nodes-edges-and-state-in-langgraph https://i.ytimg.com/vi/HGUe8p7yUqg/maxresdefault.jpg Nodes, Edges, and State in LangGraph The core primitives. Once you understand state graphs, every LangGraph example becomes readable. FIND_VIDEO: search 'LangGraph state graph nodes edges tutorial' — recommended channel: LangChain / Harrison Chase. Aim for 11 min or under. https://www.youtube.com/embed/HGUe8p7yUqg 2026-05-26T17:19:34.482Z 660 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m01-langgraph-for-stateful-agents/conditional-edges-and-routing https://i.ytimg.com/vi/t_VdrabMjGM/maxresdefault.jpg Conditional Edges and Routing The dynamic routing that turns a flowchart into an agent. Patterns you'll use in every graph. FIND_VIDEO: search 'LangGraph conditional edges routing tutorial' — recommended channel: LangChain / Sam Witteveen. Aim for 10 min or under. https://www.youtube.com/embed/t_VdrabMjGM 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m01-langgraph-for-stateful-agents/persistence-and-checkpointing https://i.ytimg.com/vi/N4VUnYRA3BY/maxresdefault.jpg Persistence and Checkpointing What separates a toy agent from a production one: state that survives restarts, threads that resume, conversations that persist. FIND_VIDEO: search 'LangGraph checkpointing persistence tutorial' — recommended channel: LangChain / Harrison Chase. Aim for 11 min or under. https://www.youtube.com/embed/N4VUnYRA3BY 2026-05-26T17:19:34.482Z 660 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m01-langgraph-for-stateful-agents/human-in-the-loop-and-interrupts https://i.ytimg.com/vi/-mbPPno8OWE/maxresdefault.jpg Human-in-the-Loop and Interrupts Pause the agent. Get human approval. Resume. The pattern that makes high-stakes agents shippable. FIND_VIDEO: search 'LangGraph human in the loop interrupt approval' — recommended channel: LangChain / Sam Witteveen. Aim for 10 min or under. https://www.youtube.com/embed/-mbPPno8OWE 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m02-production-agent-patterns/multi-agent-systems-and-supervisor-patterns https://i.ytimg.com/vi/WWcDnUCT52Q/maxresdefault.jpg Multi-Agent Systems and Supervisor Patterns When one agent isn't enough. Coordinator patterns for systems with specialized workers. FIND_VIDEO: search 'multi-agent system supervisor LangGraph tutorial' — recommended channel: LangChain / CrewAI / Sam Witteveen. Aim for 11 min or under. https://www.youtube.com/embed/WWcDnUCT52Q 2026-05-26T17:19:34.482Z 660 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m02-production-agent-patterns/memory-short-term-long-term-semantic https://i.ytimg.com/vi/UF230UuclZM/maxresdefault.jpg Memory — Short-term, Long-term, Semantic What memory means for an agent and how to give it the right kind. FIND_VIDEO: search 'agent memory short term long term LLM' — recommended channel: LangChain / Mem0 / James Briggs. Aim for 10 min or under. https://www.youtube.com/embed/UF230UuclZM 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m02-production-agent-patterns/streaming-observability-and-langsmith https://i.ytimg.com/vi/V-Go18NlwHU/maxresdefault.jpg Streaming, Observability, and LangSmith The production observability layer. Without it, debugging multi-step agents is brutal. FIND_VIDEO: search 'LangSmith LangGraph observability tutorial' — recommended channel: LangChain. Aim for 10 min or under. https://www.youtube.com/embed/V-Go18NlwHU 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/langchain-langgraph-ai-agents/langchain-langgraph-ai-agents-m02-production-agent-patterns/evaluation-and-testing-for-agents https://i.ytimg.com/vi/iEgjJyk3aTw/maxresdefault.jpg Evaluation and Testing for Agents Evals for agents are harder than for simple LLM calls. Here's what actually works. FIND_VIDEO: search 'LLM agent evaluation testing tutorial' — recommended channel: LangChain / DeepLearning.AI. Aim for 10 min or under. https://www.youtube.com/embed/iEgjJyk3aTw 2026-05-26T17:19:34.482Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m00-the-modern-data-engineering-landscape/what-data-engineering-actually-is-2026-view https://i.ytimg.com/vi/-ClWgwC0Sbw/maxresdefault.jpg What Data Engineering Actually Is (2026 view) Strip away the hype. Data engineering is moving data reliably from where it lives to where it can be used. FIND_VIDEO: search 'what is data engineering modern data stack' — recommended channel: Seattle Data Guy / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/-ClWgwC0Sbw 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m00-the-modern-data-engineering-landscape/batch-vs-streaming-vs-hybrid https://i.ytimg.com/vi/1xgBQTF24mU/maxresdefault.jpg Batch vs Streaming vs Hybrid The first design decision in any pipeline. Pick the wrong one and you build operational pain. FIND_VIDEO: search 'batch vs streaming data engineering when to use' — recommended channel: Confluent / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/1xgBQTF24mU 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m00-the-modern-data-engineering-landscape/etl-vs-elt-why-elt-won https://i.ytimg.com/vi/o4Ot-xG-N4k/maxresdefault.jpg ETL vs ELT — Why ELT Won The architectural shift that defines the modern data stack. Why pushing transformation INTO the warehouse changed everything. FIND_VIDEO: search 'ETL vs ELT difference modern data stack' — recommended channel: Kahan Data Solutions / Fivetran. Aim for 9 min or under. https://www.youtube.com/embed/o4Ot-xG-N4k 2026-05-26T17:42:49.569Z 540 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m00-the-modern-data-engineering-landscape/file-formats-the-lakehouse-parquet-iceberg-delta https://i.ytimg.com/vi/qHCuDOCJRaQ/maxresdefault.jpg File Formats & the Lakehouse (Parquet, Iceberg, Delta) The format wars and why they matter. Iceberg has emerged as the 2026 open lakehouse standard. FIND_VIDEO: search 'apache iceberg delta parquet lakehouse explained' — recommended channel: Tabular / Databricks / Kahan Data Solutions. Aim for 11 min or under. https://www.youtube.com/embed/qHCuDOCJRaQ 2026-05-26T17:42:49.569Z 660 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m01-ingestion-and-orchestration/data-ingestion-patterns-batch-cdc-streaming https://i.ytimg.com/vi/quwLU1x3-X4/maxresdefault.jpg Data Ingestion Patterns (Batch, CDC, Streaming) Three ways data gets from source to warehouse. Each has different cost, complexity, and latency profile. FIND_VIDEO: search 'data ingestion patterns batch CDC streaming' — recommended channel: Confluent / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/quwLU1x3-X4 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m01-ingestion-and-orchestration/managed-ingestion-tools-fivetran-airbyte-meltano https://i.ytimg.com/vi/S9hbkMfBqE8/maxresdefault.jpg Managed Ingestion Tools (Fivetran, Airbyte, Meltano) Three tools, three philosophies. Pick by your team size, budget, and willingness to operate infrastructure. FIND_VIDEO: search 'fivetran vs airbyte vs meltano comparison' — recommended channel: Airbyte / Seattle Data Guy. Aim for 10 min or under. https://www.youtube.com/embed/S9hbkMfBqE8 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m01-ingestion-and-orchestration/apache-airflow-the-workhorse-orchestrator https://i.ytimg.com/vi/CGxxVj13sOs/maxresdefault.jpg Apache Airflow — The Workhorse Orchestrator The dominant orchestrator in 2026. Verbose, mature, omnipresent. Knowing it is non-negotiable for DE work. FIND_VIDEO: search 'apache airflow tutorial DAG basics' — recommended channel: Apache Airflow / Astronomer / Seattle Data Guy. Aim for 11 min or under. https://www.youtube.com/embed/CGxxVj13sOs 2026-05-26T17:42:49.569Z 660 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m01-ingestion-and-orchestration/modern-orchestrators-dagster-prefect https://i.ytimg.com/vi/ZmUjf3gL1VU/maxresdefault.jpg Modern Orchestrators (Dagster, Prefect) Newer orchestrators address Airflow's pain points. Both are credible alternatives with different philosophies. FIND_VIDEO: search 'dagster vs prefect vs airflow comparison' — recommended channel: Dagster / Prefect / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/ZmUjf3gL1VU 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m01-ingestion-and-orchestration/scheduling-backfills-and-idempotency https://i.ytimg.com/vi/Pz9VKKqwCk0/maxresdefault.jpg Scheduling, Backfills, and Idempotency Three concepts that separate amateur pipelines from production-grade ones. FIND_VIDEO: search 'data pipeline backfill idempotent design' — recommended channel: Seattle Data Guy / Kahan Data Solutions. Aim for 10 min or under. https://www.youtube.com/embed/Pz9VKKqwCk0 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m02-reliability-and-production-patterns/data-quality-testing-great-expectations-dbt-tests https://i.ytimg.com/vi/L5X1NlUvfbc/maxresdefault.jpg Data Quality Testing (Great Expectations, dbt Tests) Two dominant approaches to encoding data quality rules. Most production stacks use both. FIND_VIDEO: search 'great expectations vs dbt tests data quality' — recommended channel: Great Expectations / dbt Labs. Aim for 10 min or under. https://www.youtube.com/embed/L5X1NlUvfbc 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m02-reliability-and-production-patterns/pipeline-observability-openlineage-monte-carlo-datafold https://i.ytimg.com/vi/g1_RaYDeXFs/maxresdefault.jpg Pipeline Observability (OpenLineage, Monte Carlo, Datafold) Beyond pass/fail tests: end-to-end visibility into pipeline health, lineage, and data freshness. FIND_VIDEO: search 'data observability openlineage monte carlo pipeline' — recommended channel: Monte Carlo / OpenLineage. Aim for 10 min or under. https://www.youtube.com/embed/g1_RaYDeXFs 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m02-reliability-and-production-patterns/streaming-basics-kafka-pub-sub-kinesis https://i.ytimg.com/vi/mc91eGJErHk/maxresdefault.jpg Streaming Basics (Kafka, Pub/Sub, Kinesis) The streaming layer of the modern stack. Covers Kafka concepts, when to use streaming, and operational realities. FIND_VIDEO: search 'kafka streaming basics tutorial data engineering' — recommended channel: Confluent / Stephane Maarek. Aim for 10 min or under. https://www.youtube.com/embed/mc91eGJErHk 2026-05-26T17:42:49.569Z 600 https://www.topfolio.in/courses/data-engineering-pipelines/data-engineering-pipelines-m02-reliability-and-production-patterns/spark-for-data-engineers https://i.ytimg.com/vi/QaoJNXW6SQo/maxresdefault.jpg Spark for Data Engineers When and how to use Spark for batch transformations. The default for large-data ELT outside the warehouse. FIND_VIDEO: search 'apache spark tutorial data engineering' — recommended channel: Apache Spark / Databricks. Aim for 11 min or under. https://www.youtube.com/embed/QaoJNXW6SQo 2026-05-26T17:42:49.569Z 660 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m00-foundations-and-linear-structures/big-o-complexity-analysis https://i.ytimg.com/vi/BgLTDT03QtU/maxresdefault.jpg Big-O & Complexity Analysis The vocabulary interviewers use. Master O(1), O(log N), O(N), O(N log N), O(N²) and how to recognize each from code. FIND_VIDEO: search 'big O notation time complexity explained' — recommended channel: HackerRank / freeCodeCamp. Aim for 10 min or under. https://www.youtube.com/embed/BgLTDT03QtU 2026-05-26T18:14:07.767Z 600 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m00-foundations-and-linear-structures/arrays-strings-two-pointers-and-sliding-window https://i.ytimg.com/vi/6lX7x1RcLvg/maxresdefault.jpg Arrays & Strings: Two Pointers and Sliding Window Two of the highest-yielding interview patterns. Recognize them and you'll solve a third of all array/string problems with O(N) algorithms. FIND_VIDEO: search 'two pointers sliding window pattern leetcode' — recommended channel: NeetCode / Tushar Roy. Aim for 12 min or under. https://www.youtube.com/embed/6lX7x1RcLvg 2026-05-26T18:14:07.767Z 720 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m00-foundations-and-linear-structures/hashmaps-hashsets https://i.ytimg.com/vi/shs0KM3wKv8/maxresdefault.jpg HashMaps & HashSets The single most-used data structure in interview problems. Trade space for time; O(1) lookups unlock most solutions. FIND_VIDEO: search 'hashmap hashset interview problems' — recommended channel: NeetCode / Abdul Bari. Aim for 10 min or under. https://www.youtube.com/embed/shs0KM3wKv8 2026-05-26T18:14:07.767Z 600 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m00-foundations-and-linear-structures/stacks-queues-monotonic-stack https://i.ytimg.com/vi/DtJVwbbicjQ/maxresdefault.jpg Stacks, Queues & Monotonic Stack LIFO and FIFO patterns. The monotonic stack is the secret weapon for 'next greater element' style problems. FIND_VIDEO: search 'stack queue monotonic stack interview' — recommended channel: NeetCode / Tushar Roy. Aim for 11 min or under. https://www.youtube.com/embed/DtJVwbbicjQ 2026-05-26T18:14:07.767Z 660 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m01-trees-graphs-and-recursion/recursion-backtracking https://i.ytimg.com/vi/ngCos392W4w/maxresdefault.jpg Recursion & Backtracking The mental model: solve a smaller problem; combine. Backtracking adds 'undo' for exploring all possibilities. FIND_VIDEO: search 'recursion backtracking interview pattern explained' — recommended channel: NeetCode / Abdul Bari. Aim for 12 min or under. https://www.youtube.com/embed/ngCos392W4w 2026-05-26T18:14:07.767Z 720 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m01-trees-graphs-and-recursion/binary-trees-traversals https://i.ytimg.com/vi/jmy0LaGET1I/maxresdefault.jpg Binary Trees & Traversals Pre-order, in-order, post-order, level-order. The four traversals you'll be asked about in every tree problem. FIND_VIDEO: search 'binary tree traversal DFS BFS interview' — recommended channel: NeetCode / Abdul Bari. Aim for 11 min or under. https://www.youtube.com/embed/jmy0LaGET1I 2026-05-26T18:14:07.767Z 660 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m01-trees-graphs-and-recursion/binary-search-trees-heaps https://i.ytimg.com/vi/XycnarZEBvQ/maxresdefault.jpg Binary Search Trees & Heaps BST: ordered tree, O(log N) operations. Heap: complete tree for priority queue, O(log N) push/pop. FIND_VIDEO: search 'binary search tree heap priority queue interview' — recommended channel: NeetCode / Abdul Bari. Aim for 10 min or under. https://www.youtube.com/embed/XycnarZEBvQ 2026-05-26T18:14:07.767Z 600 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m01-trees-graphs-and-recursion/graphs-representation-bfs-dfs https://i.ytimg.com/vi/pcKY4hjDrxk/maxresdefault.jpg Graphs: Representation & BFS/DFS Adjacency list vs matrix. BFS for shortest unweighted path; DFS for connectivity and exploration. FIND_VIDEO: search 'graph BFS DFS representation interview' — recommended channel: NeetCode / William Fiset. Aim for 12 min or under. https://www.youtube.com/embed/pcKY4hjDrxk 2026-05-26T18:14:07.767Z 720 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m01-trees-graphs-and-recursion/graph-algorithms-dijkstra-topological-sort https://i.ytimg.com/vi/_lHSawdgXpI/maxresdefault.jpg Graph Algorithms (Dijkstra, Topological Sort) Weighted shortest path (Dijkstra) and dependency ordering (topo sort). The two named algorithms most likely to appear. FIND_VIDEO: search 'dijkstra topological sort algorithm explained' — recommended channel: NeetCode / Abdul Bari. Aim for 11 min or under. https://www.youtube.com/embed/_lHSawdgXpI 2026-05-26T18:14:07.767Z 660 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m02-advanced-patterns/dynamic-programming-basics https://i.ytimg.com/vi/vYquumk4nWw/maxresdefault.jpg Dynamic Programming Basics DP is recursion + memoization, or table-filling bottom-up. Master the 1D and 2D table patterns. FIND_VIDEO: search 'dynamic programming for beginners explained' — recommended channel: NeetCode / freeCodeCamp. Aim for 12 min or under. https://www.youtube.com/embed/vYquumk4nWw 2026-05-26T18:14:07.767Z 720 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m02-advanced-patterns/greedy-interval-problems https://i.ytimg.com/vi/nUShpavQae8/maxresdefault.jpg Greedy & Interval Problems When local choices give global optima. Interval scheduling, merging, and greedy patterns. FIND_VIDEO: search 'greedy algorithm interval scheduling interview' — recommended channel: NeetCode / William Fiset. Aim for 10 min or under. https://www.youtube.com/embed/nUShpavQae8 2026-05-26T18:14:07.767Z 600 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m02-advanced-patterns/binary-search-variations https://i.ytimg.com/vi/xrMppTpoqdw/maxresdefault.jpg Binary Search Variations Beyond 'find X in sorted array': lower bound, upper bound, binary search on the answer. The pattern that turns O(N) into O(log N). FIND_VIDEO: search 'binary search variations explained interview' — recommended channel: NeetCode / Errichto. Aim for 11 min or under. https://www.youtube.com/embed/xrMppTpoqdw 2026-05-26T18:14:07.767Z 660 https://www.topfolio.in/courses/dsa-for-interviews/dsa-for-interviews-m02-advanced-patterns/bit-manipulation https://i.ytimg.com/vi/aCKuY1Krf7g/maxresdefault.jpg Bit Manipulation XOR tricks, bit counting, power-of-2 checks. The handful of bit operations that pop up in interview problems. FIND_VIDEO: search 'bit manipulation tricks interview' — recommended channel: NeetCode / Tushar Roy. Aim for 9 min or under. https://www.youtube.com/embed/aCKuY1Krf7g 2026-05-26T18:14:07.767Z 540 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m00-foundations-and-building-blocks/scaling-basics-vertical-vs-horizontal https://i.ytimg.com/vi/dvRFHG2-uYs/maxresdefault.jpg Scaling Basics — Vertical vs Horizontal The first system design decision. When to scale up (bigger box) vs scale out (more boxes), and the trade-offs of each. FIND_VIDEO: search 'vertical vs horizontal scaling explained' — recommended channel: ByteByteGo / Gaurav Sen. Aim for 10 min or under. https://www.youtube.com/embed/dvRFHG2-uYs 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m00-foundations-and-building-blocks/load-balancers https://i.ytimg.com/vi/xg7Dj2AXLyk/maxresdefault.jpg Load Balancers Distribute requests across servers. Algorithms (round robin, least connections, hashing), L4 vs L7, and the failure modes. FIND_VIDEO: search 'load balancer system design interview' — recommended channel: ByteByteGo / Gaurav Sen. Aim for 10 min or under. https://www.youtube.com/embed/xg7Dj2AXLyk 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m00-foundations-and-building-blocks/caching https://i.ytimg.com/vi/NiTwMUq9maI/maxresdefault.jpg Caching The single biggest performance lever. Where to cache, what to cache, how to invalidate, and the eviction policies that matter. FIND_VIDEO: search 'caching strategies system design' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 10 min or under. https://www.youtube.com/embed/NiTwMUq9maI 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m00-foundations-and-building-blocks/sql-vs-nosql https://i.ytimg.com/vi/_Ss42Vb1SU4/maxresdefault.jpg SQL vs NoSQL The most-asked DB question in interviews. Strengths, weaknesses, and concrete signals for choosing one over the other. FIND_VIDEO: search 'SQL vs NoSQL when to use which' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 11 min or under. https://www.youtube.com/embed/_Ss42Vb1SU4 2026-05-26T18:36:23.749Z 660 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m01-data-and-communication/database-sharding-partitioning https://i.ytimg.com/vi/VhsMXWb5Eew/maxresdefault.jpg Database Sharding & Partitioning Splitting one big DB into many smaller ones. The strategies (range, hash, geo) and what breaks at the join. FIND_VIDEO: search 'database sharding partitioning explained' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 11 min or under. https://www.youtube.com/embed/VhsMXWb5Eew 2026-05-26T18:36:23.749Z 660 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m01-data-and-communication/replication-consistency https://i.ytimg.com/vi/t5WPGMXOtds/maxresdefault.jpg Replication & Consistency Multiple copies of your data. Master-slave, multi-master, the CAP theorem, and the consistency models you need to know. FIND_VIDEO: search 'database replication consistency CAP theorem' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 11 min or under. https://www.youtube.com/embed/t5WPGMXOtds 2026-05-26T18:36:23.749Z 660 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m01-data-and-communication/message-queues-async-communication https://i.ytimg.com/vi/4x2n2smklDg/maxresdefault.jpg Message Queues & Async Communication Decouple services. Kafka, RabbitMQ, SQS — and when to reach for async messaging instead of synchronous calls. FIND_VIDEO: search 'message queue kafka rabbitmq tutorial' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 10 min or under. https://www.youtube.com/embed/4x2n2smklDg 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m01-data-and-communication/api-design-rest-grpc-graphql https://i.ytimg.com/vi/hiUR8ZOpZ8M/maxresdefault.jpg API Design — REST, gRPC, GraphQL Three API styles. Different strengths, different costs. Choose by use case, not by hype. FIND_VIDEO: search 'REST vs gRPC vs GraphQL comparison' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 11 min or under. https://www.youtube.com/embed/hiUR8ZOpZ8M 2026-05-26T18:36:23.749Z 660 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m01-data-and-communication/cdns-edge https://i.ytimg.com/vi/RI9np1LWzqw/maxresdefault.jpg CDNs & Edge Static content delivery from servers near users. Cache hit ratios, invalidation, and edge compute. FIND_VIDEO: search 'CDN content delivery network explained' — recommended channel: ByteByteGo / CloudFlare YouTube. Aim for 9 min or under. https://www.youtube.com/embed/RI9np1LWzqw 2026-05-26T18:36:23.749Z 540 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m02-reliability-and-operations/rate-limiting https://i.ytimg.com/vi/YXkOdWBwqaA/maxresdefault.jpg Rate Limiting Protect your API from abuse and overload. Token bucket, leaky bucket, sliding window — and where to put the limiter. FIND_VIDEO: search 'rate limiting algorithms system design' — recommended channel: ByteByteGo / Hussein Nasser. Aim for 10 min or under. https://www.youtube.com/embed/YXkOdWBwqaA 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m02-reliability-and-operations/microservices-vs-monolith https://i.ytimg.com/vi/NdeTGlZ__Do/maxresdefault.jpg Microservices vs Monolith The most over-debated topic. When microservices actually help; when they create more pain than value. FIND_VIDEO: search 'microservices vs monolith trade-offs' — recommended channel: ByteByteGo / Martin Fowler. Aim for 11 min or under. https://www.youtube.com/embed/NdeTGlZ__Do 2026-05-26T18:36:23.749Z 660 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m02-reliability-and-operations/monitoring-observability https://i.ytimg.com/vi/GsW0-uiCwqQ/maxresdefault.jpg Monitoring & Observability Three pillars: metrics, logs, traces. How they fit together and what each is good for. FIND_VIDEO: search 'observability metrics logs traces explained' — recommended channel: Honeycomb / Grafana / Datadog. Aim for 10 min or under. https://www.youtube.com/embed/GsW0-uiCwqQ 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/system-design-fundamentals/system-design-fundamentals-m02-reliability-and-operations/security-fundamentals https://i.ytimg.com/vi/Zc5N3C51G6A/maxresdefault.jpg Security Fundamentals The non-negotiables: HTTPS, auth done right, secret management, OWASP top 10 awareness. FIND_VIDEO: search 'application security basics auth HTTPS' — recommended channel: OWASP / Hussein Nasser. Aim for 10 min or under. https://www.youtube.com/embed/Zc5N3C51G6A 2026-05-26T18:36:23.749Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m00-modern-python-foundations/type-hints-static-checking https://i.ytimg.com/vi/_n22NZwAyo0/maxresdefault.jpg Type Hints & Static Checking The single biggest production-quality lever for Python in 2026. Add types incrementally; let Pyright catch bugs before they ship. FIND_VIDEO: search 'python type hints mypy pyright tutorial' — recommended channel: ArjanCodes / mCoding. Aim for 11 min or under. https://www.youtube.com/embed/_n22NZwAyo0 2026-05-26T18:55:12.484Z 660 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m00-modern-python-foundations/data-classes-pydantic https://i.ytimg.com/vi/zN4VCb0LbQI/maxresdefault.jpg Data Classes & Pydantic Three ways to model data. dataclass for plain objects, Pydantic for validated boundaries, NamedTuple for immutable tuples-with-names. FIND_VIDEO: search 'python dataclass vs pydantic vs namedtuple' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under. https://www.youtube.com/embed/zN4VCb0LbQI 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m00-modern-python-foundations/project-structure-packaging https://i.ytimg.com/vi/AMdG7IjgSPM/maxresdefault.jpg Project Structure & Packaging Modern Python projects: src layout, pyproject.toml, uv. The 2026 way to organize code that ships. FIND_VIDEO: search 'python project structure pyproject toml uv' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under. https://www.youtube.com/embed/AMdG7IjgSPM 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m00-modern-python-foundations/virtual-envs-dependency-management https://i.ytimg.com/vi/Y21OR1OPC9A/maxresdefault.jpg Virtual Envs & Dependency Management Isolate per-project dependencies. The 2026 tooling: uv (recommended), poetry, pip-tools, venv. How they differ. FIND_VIDEO: search 'python virtual environment uv poetry pip-tools' — recommended channel: ArjanCodes / Real Python. Aim for 9 min or under. https://www.youtube.com/embed/Y21OR1OPC9A 2026-05-26T18:55:12.484Z 540 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m01-async-concurrency-performance/async-await-how-the-event-loop-works https://i.ytimg.com/vi/RIVcqT2OGPA/maxresdefault.jpg Async/Await — How the Event Loop Works The mental model of async Python. Single-threaded concurrency; coroutines yield control at I/O boundaries. FIND_VIDEO: search 'python asyncio event loop tutorial' — recommended channel: mCoding / ArjanCodes. Aim for 12 min or under. https://www.youtube.com/embed/RIVcqT2OGPA 2026-05-26T18:55:12.484Z 720 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m01-async-concurrency-performance/threading-vs-multiprocessing-vs-asyncio https://i.ytimg.com/vi/QlkXji08lno/maxresdefault.jpg Threading vs Multiprocessing vs Asyncio The three concurrency primitives. The GIL, when each beats the others, and how to pick. FIND_VIDEO: search 'python threading multiprocessing asyncio GIL' — recommended channel: mCoding / Real Python. Aim for 11 min or under. https://www.youtube.com/embed/QlkXji08lno 2026-05-26T18:55:12.484Z 660 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m01-async-concurrency-performance/generators-iterators-itertools https://i.ytimg.com/vi/aumxFs2DO5o/maxresdefault.jpg Generators, Iterators & itertools Lazy evaluation. Process huge datasets with O(1) memory; compose pipelines elegantly. FIND_VIDEO: search 'python generators iterators itertools tutorial' — recommended channel: mCoding / Raymond Hettinger. Aim for 10 min or under. https://www.youtube.com/embed/aumxFs2DO5o 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m01-async-concurrency-performance/context-managers-decorators https://i.ytimg.com/vi/FdgMrXckfSc/maxresdefault.jpg Context Managers & Decorators Two of Python's most powerful abstractions. Build cleanup-safe code and reusable cross-cutting logic. FIND_VIDEO: search 'python decorators context managers tutorial' — recommended channel: ArjanCodes / Real Python. Aim for 10 min or under. https://www.youtube.com/embed/FdgMrXckfSc 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m01-async-concurrency-performance/profiling-optimization https://i.ytimg.com/vi/3PdmLQIZpwE/maxresdefault.jpg Profiling & Optimization Find what's slow before you optimize. cProfile, py-spy, memray — the right tool for the right symptom. FIND_VIDEO: search 'python profiling cProfile py-spy memray' — recommended channel: mCoding / Anthony Shaw. Aim for 10 min or under. https://www.youtube.com/embed/3PdmLQIZpwE 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m02-production-python/testing-with-pytest https://i.ytimg.com/vi/OH4A-D5nAI4/maxresdefault.jpg Testing with pytest The dominant Python testing framework. Fixtures, parametrization, mocking, coverage. FIND_VIDEO: search 'python pytest tutorial fixtures parametrize' — recommended channel: ArjanCodes / mCoding. Aim for 11 min or under. https://www.youtube.com/embed/OH4A-D5nAI4 2026-05-26T18:55:12.484Z 660 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m02-production-python/logging-configuration https://i.ytimg.com/vi/-ARI4Cz-awo/maxresdefault.jpg Logging & Configuration Structured logging, log levels, and the 12-factor config pattern. The foundation of observable Python apps. FIND_VIDEO: search 'python logging configuration 12 factor' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under. https://www.youtube.com/embed/-ARI4Cz-awo 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m02-production-python/error-handling-patterns https://i.ytimg.com/vi/kotCJoPBruM/maxresdefault.jpg Error Handling Patterns Exception hierarchies, retries with backoff, Result types, and the patterns that production code uses. FIND_VIDEO: search 'python exception handling patterns best practices' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under. https://www.youtube.com/embed/kotCJoPBruM 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/python-for-software-engineers/python-for-software-engineers-m02-production-python/design-patterns-in-python https://i.ytimg.com/vi/tv-_1er1mWI/maxresdefault.jpg Design Patterns in Python Design patterns adapted to Python. Most GoF patterns are simpler in Python; some are unnecessary. FIND_VIDEO: search 'python design patterns pythonic SOLID' — recommended channel: ArjanCodes / mCoding. Aim for 10 min or under. https://www.youtube.com/embed/tv-_1er1mWI 2026-05-26T18:55:12.484Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m00-git-fundamentals/git-s-mental-model-commits-trees-refs https://i.ytimg.com/vi/P6jD966jzlk/maxresdefault.jpg Git's Mental Model — Commits, Trees, Refs The mental model that makes Git click: commits are snapshots in a DAG; branches are just pointers; everything else follows. FIND_VIDEO: search 'git internals commits trees branches explained' — recommended channel: The Coding Train / Fireship / Atlassian. Aim for 11 min or under. https://www.youtube.com/embed/P6jD966jzlk 2026-05-27T08:29:51.826Z 660 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m00-git-fundamentals/branches-merging https://i.ytimg.com/vi/_uKv_vxu398/maxresdefault.jpg Branches & Merging Create branches, switch between them, merge them back. The mechanics and the two flavors of merge (fast-forward and three-way). FIND_VIDEO: search 'git branching merging tutorial' — recommended channel: Fireship / Atlassian Bitbucket. Aim for 10 min or under. https://www.youtube.com/embed/_uKv_vxu398 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m00-git-fundamentals/the-staging-area https://i.ytimg.com/vi/tI6dDja5px0/maxresdefault.jpg The Staging Area The space between your working tree and the repo. Stage selectively, craft good commits, review before committing. FIND_VIDEO: search 'git staging area index explained' — recommended channel: Atlassian Bitbucket / Fireship. Aim for 9 min or under. https://www.youtube.com/embed/tI6dDja5px0 2026-05-27T08:29:51.826Z 540 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m00-git-fundamentals/remotes-push-pull-fetch https://i.ytimg.com/vi/ByBGTkrQ-QU/maxresdefault.jpg Remotes — Push, Pull, Fetch Working with remote repositories. The push/pull/fetch model, tracking branches, and origin vs upstream. FIND_VIDEO: search 'git remote push pull fetch tutorial' — recommended channel: Atlassian Bitbucket / GitHub Docs. Aim for 10 min or under. https://www.youtube.com/embed/ByBGTkrQ-QU 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m01-real-world-git-workflows/rebase-vs-merge https://i.ytimg.com/vi/zOnwgxiC0OA/maxresdefault.jpg Rebase vs Merge The two ways to integrate changes. When each is better, and the philosophical 'rewrite history vs preserve history' debate. FIND_VIDEO: search 'git rebase vs merge tutorial' — recommended channel: Atlassian / Fireship. Aim for 11 min or under. https://www.youtube.com/embed/zOnwgxiC0OA 2026-05-27T08:29:51.826Z 660 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m01-real-world-git-workflows/interactive-rebase https://i.ytimg.com/vi/msuJGG2iWjs/maxresdefault.jpg Interactive Rebase Rewrite your branch's history: squash, edit, reorder, drop commits before sharing. The history-cleanup superpower. FIND_VIDEO: search 'git interactive rebase tutorial squash' — recommended channel: Fireship / Atlassian. Aim for 10 min or under. https://www.youtube.com/embed/msuJGG2iWjs 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m01-real-world-git-workflows/stash-cherry-pick-reset https://i.ytimg.com/vi/i657Bg_HAWI/maxresdefault.jpg Stash, Cherry-pick, Reset Three utility commands for common situations: temporary save (stash), copy a specific commit (cherry-pick), move pointers (reset). FIND_VIDEO: search 'git stash cherry-pick reset tutorial' — recommended channel: Atlassian / Fireship. Aim for 10 min or under. https://www.youtube.com/embed/i657Bg_HAWI 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m01-real-world-git-workflows/resolving-merge-conflicts https://i.ytimg.com/vi/Sqsz1-o7nXk/maxresdefault.jpg Resolving Merge Conflicts The conflict markers, the strategies, and the tools that make resolution easier (mergetool, IDE integrations). FIND_VIDEO: search 'git merge conflict resolution tutorial' — recommended channel: Fireship / Atlassian. Aim for 10 min or under. https://www.youtube.com/embed/Sqsz1-o7nXk 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m01-real-world-git-workflows/reflog-recovery https://i.ytimg.com/vi/fyhYSl-ACPc/maxresdefault.jpg Reflog & Recovery The safety net you didn't know you had. Reflog records every HEAD movement; almost everything is recoverable. FIND_VIDEO: search 'git reflog recovery lost commits' — recommended channel: Atlassian / Fireship. Aim for 9 min or under. https://www.youtube.com/embed/fyhYSl-ACPc 2026-05-27T08:29:51.826Z 540 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m02-github-collaboration/pull-requests-code-review https://i.ytimg.com/vi/lSnbOtw4izI/maxresdefault.jpg Pull Requests & Code Review The PR workflow: branch → push → open PR → review → discuss → merge. Plus what good reviews look like. FIND_VIDEO: search 'github pull request code review tutorial' — recommended channel: GitHub Training / Fireship. Aim for 10 min or under. https://www.youtube.com/embed/lSnbOtw4izI 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m02-github-collaboration/github-actions-basics https://i.ytimg.com/vi/0PbxpIao_EU/maxresdefault.jpg GitHub Actions Basics Run code on every push/PR: tests, lint, deploy. The CI/CD workflow that comes free with your repo. FIND_VIDEO: search 'github actions tutorial CI CD' — recommended channel: GitHub / Fireship. Aim for 11 min or under. https://www.youtube.com/embed/0PbxpIao_EU 2026-05-27T08:29:51.826Z 660 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m02-github-collaboration/branching-strategies-trunk-gitflow-github-flow https://i.ytimg.com/vi/k9BR9LQjUlU/maxresdefault.jpg Branching Strategies (Trunk, GitFlow, GitHub Flow) The three main models. How they shape your team's workflow, and which fits your situation. FIND_VIDEO: search 'branching strategy trunk gitflow github flow' — recommended channel: Atlassian / Continuous Delivery Foundation. Aim for 10 min or under. https://www.youtube.com/embed/k9BR9LQjUlU 2026-05-27T08:29:51.826Z 600 https://www.topfolio.in/courses/git-github-mastery/git-github-mastery-m02-github-collaboration/issues-projects-discussions https://i.ytimg.com/vi/YxKhb3fxtsU/maxresdefault.jpg Issues, Projects, Discussions GitHub as a project management tool: tracking work, planning, discussing — beyond just code. FIND_VIDEO: search 'github issues projects discussions tutorial' — recommended channel: GitHub Training / Marc Pinet. Aim for 8 min or under. https://www.youtube.com/embed/YxKhb3fxtsU 2026-05-27T08:29:51.826Z 480 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m00-fastapi-foundations/fastapi-basics-routes-path-query-params https://i.ytimg.com/vi/7AMjmCTumuo/maxresdefault.jpg FastAPI Basics — Routes, Path & Query Params From zero to a running API. Routes, methods, path params, query params, automatic OpenAPI docs. FIND_VIDEO: search 'fastapi tutorial routes path query parameters' — recommended channel: ArjanCodes / Tech with Tim. Aim for 11 min or under. https://www.youtube.com/embed/7AMjmCTumuo 2026-05-27T09:41:30.198Z 660 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m00-fastapi-foundations/request-response-models-with-pydantic https://i.ytimg.com/vi/9GHxnttXxrA/maxresdefault.jpg Request/Response Models with Pydantic Pydantic models for input validation and output serialization. The single biggest source of FastAPI's quality. FIND_VIDEO: search 'fastapi pydantic models tutorial' — recommended channel: ArjanCodes / Tech with Tim. Aim for 10 min or under. https://www.youtube.com/embed/9GHxnttXxrA 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m00-fastapi-foundations/dependency-injection-in-fastapi https://i.ytimg.com/vi/f270BoTicMA/maxresdefault.jpg Dependency Injection in FastAPI The reusable abstraction at the heart of FastAPI. get_db, get_current_user, and how to compose dependencies. FIND_VIDEO: search 'fastapi dependency injection tutorial' — recommended channel: ArjanCodes / Tech with Tim. Aim for 10 min or under. https://www.youtube.com/embed/f270BoTicMA 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m00-fastapi-foundations/async-endpoints-when-to-use-them https://i.ytimg.com/vi/cmnPiUVlIsM/maxresdefault.jpg Async Endpoints — When to Use Them Async vs sync endpoints in FastAPI. When async actually helps, and the libraries that make it work. FIND_VIDEO: search 'fastapi async endpoints tutorial' — recommended channel: ArjanCodes / mCoding. Aim for 9 min or under. https://www.youtube.com/embed/cmnPiUVlIsM 2026-05-27T09:41:30.198Z 540 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m01-data-layer-and-auth/sqlalchemy-2-0-orm https://i.ytimg.com/vi/r6XasrHGI_A/maxresdefault.jpg SQLAlchemy 2.0 ORM The modern SQLAlchemy: typed Mapped columns, declarative style, async support. The standard Python ORM. FIND_VIDEO: search 'sqlalchemy 2.0 tutorial mapped' — recommended channel: ArjanCodes / Mike Bayer talks. Aim for 11 min or under. https://www.youtube.com/embed/r6XasrHGI_A 2026-05-27T09:41:30.198Z 660 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m01-data-layer-and-auth/database-migrations-with-alembic https://i.ytimg.com/vi/bfelC61XKO4/maxresdefault.jpg Database Migrations with Alembic Schema changes as code. Alembic generates migration scripts; running them migrates production safely. FIND_VIDEO: search 'alembic database migrations fastapi tutorial' — recommended channel: ArjanCodes / Pretty Printed. Aim for 10 min or under. https://www.youtube.com/embed/bfelC61XKO4 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m01-data-layer-and-auth/pydantic-vs-sqlalchemy-models https://i.ytimg.com/vi/502XOB0u8OY/maxresdefault.jpg Pydantic vs SQLAlchemy Models Why your DB models and your API models should be different types — and how to convert cleanly. FIND_VIDEO: search 'pydantic sqlalchemy separation api models' — recommended channel: ArjanCodes. Aim for 9 min or under. https://www.youtube.com/embed/502XOB0u8OY 2026-05-27T09:41:30.198Z 540 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m01-data-layer-and-auth/authentication-jwt-oauth2 https://i.ytimg.com/vi/DgOYyAjDQ0U/maxresdefault.jpg Authentication — JWT & OAuth2 The standard auth pattern: hash passwords, issue JWTs, OAuth2 flow. The auth layer of any modern API. FIND_VIDEO: search 'fastapi jwt authentication oauth2 tutorial' — recommended channel: ArjanCodes / Tech with Tim. Aim for 11 min or under. https://www.youtube.com/embed/DgOYyAjDQ0U 2026-05-27T09:41:30.198Z 660 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m01-data-layer-and-auth/authorization-roles-permissions https://i.ytimg.com/vi/0A_GCXBCNUQ/maxresdefault.jpg Authorization — Roles & Permissions Authentication says who; authorization says what. Roles, permissions, scopes, and the dependency patterns. FIND_VIDEO: search 'fastapi role based access control RBAC' — recommended channel: ArjanCodes. Aim for 10 min or under. https://www.youtube.com/embed/0A_GCXBCNUQ 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m02-production-concerns/background-tasks-workers https://i.ytimg.com/vi/Jei94GJshMw/maxresdefault.jpg Background Tasks & Workers Long-running work that shouldn't block the request. BackgroundTasks for simple, Celery/ARQ for serious. FIND_VIDEO: search 'fastapi background tasks celery arq' — recommended channel: ArjanCodes / Tech with Tim. Aim for 10 min or under. https://www.youtube.com/embed/Jei94GJshMw 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m02-production-concerns/testing-fastapi-apps https://i.ytimg.com/vi/9gC3Ot0LoUQ/maxresdefault.jpg Testing FastAPI Apps TestClient, fixtures for DB and auth, dependency overrides. The path to a real test suite. FIND_VIDEO: search 'fastapi testing pytest tutorial' — recommended channel: ArjanCodes / Test-Driven.io. Aim for 10 min or under. https://www.youtube.com/embed/9gC3Ot0LoUQ 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m02-production-concerns/logging-middleware-error-handling https://i.ytimg.com/vi/SORiTsvnU28/maxresdefault.jpg Logging, Middleware, Error Handling The cross-cutting concerns of production: structured logs, request context, custom error responses, middleware patterns. FIND_VIDEO: search 'fastapi middleware exception handler logging' — recommended channel: ArjanCodes. Aim for 10 min or under. https://www.youtube.com/embed/SORiTsvnU28 2026-05-27T09:41:30.198Z 600 https://www.topfolio.in/courses/backend-with-fastapi/backend-with-fastapi-m02-production-concerns/deployment-docker-gunicorn-uvicorn-cloud https://i.ytimg.com/vi/xjgHXOGnOhk/maxresdefault.jpg Deployment — Docker, Gunicorn/Uvicorn, Cloud From running locally to production: Dockerfile, process manager, cloud platforms. The deployment options that work. FIND_VIDEO: search 'fastapi docker deployment production' — recommended channel: ArjanCodes / Test-Driven.io. Aim for 11 min or under. https://www.youtube.com/embed/xjgHXOGnOhk 2026-05-27T09:41:30.198Z 660 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m00-the-ai-coding-landscape/why-ai-coding-now-the-2026-landscape https://i.ytimg.com/vi/52ltebR4Jnw/maxresdefault.jpg Why AI Coding Now — The 2026 Landscape The capability shift from 'autocomplete' to 'pair programmer'. Why this is real, not hype, in 2026. FIND_VIDEO: search 'AI coding cursor claude code 2026 landscape' — recommended channel: Fireship / Theo / Matt Shumer. Aim for 10 min or under. https://www.youtube.com/embed/52ltebR4Jnw 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m00-the-ai-coding-landscape/tools-overview-cursor-claude-code-copilot-aider https://i.ytimg.com/vi/m3Ow9TDzJ10/maxresdefault.jpg Tools Overview — Cursor, Claude Code, Copilot, Aider The 2026 tool landscape. Each has strengths and a different ergonomic philosophy. Pick by your workflow. FIND_VIDEO: search 'cursor claude code copilot aider comparison 2026' — recommended channel: Fireship / Theo / Matt Wolfe. Aim for 11 min or under. https://www.youtube.com/embed/m3Ow9TDzJ10 2026-05-27T09:57:46.495Z 660 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m00-the-ai-coding-landscape/prompts-that-work-specificity-context-constraints https://i.ytimg.com/vi/ysPbXH0LpIE/maxresdefault.jpg Prompts That Work — Specificity, Context, Constraints Vague prompts → vague code. The three properties that make prompts produce useful output: specificity, context, constraints. FIND_VIDEO: search 'prompt engineering coding tips effective' — recommended channel: Anthropic / Cursor / Theo. Aim for 10 min or under. https://www.youtube.com/embed/ysPbXH0LpIE 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m00-the-ai-coding-landscape/limitations-failure-modes https://i.ytimg.com/vi/tg3gnUUuwx8/maxresdefault.jpg Limitations & Failure Modes Where AI coding goes wrong. Knowing the failure modes makes you a better operator. FIND_VIDEO: search 'AI coding limitations hallucinations failures 2026' — recommended channel: Mr Robot / Theo / Anthropic safety. Aim for 10 min or under. https://www.youtube.com/embed/tg3gnUUuwx8 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m01-daily-workflow-with-ai/pair-programming-with-ai https://i.ytimg.com/vi/iltdFNpl73I/maxresdefault.jpg Pair Programming with AI The drive vs review modes. Switching consciously. The rhythm of effective AI pair programming. FIND_VIDEO: search 'pair programming AI cursor claude code workflow' — recommended channel: Cursor / Anthropic / Theo. Aim for 10 min or under. https://www.youtube.com/embed/iltdFNpl73I 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m01-daily-workflow-with-ai/code-generation-patterns https://i.ytimg.com/vi/8_liatgLkLc/maxresdefault.jpg Code Generation Patterns From spec to working code: scaffold, fill, polish. The patterns for getting useful generation, not generic boilerplate. FIND_VIDEO: search 'AI code generation patterns spec scaffold' — recommended channel: Cursor / Anthropic. Aim for 10 min or under. https://www.youtube.com/embed/8_liatgLkLc 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m01-daily-workflow-with-ai/refactoring-with-ai https://i.ytimg.com/vi/AkG-BZ-708U/maxresdefault.jpg Refactoring with AI Refactoring with safety: tests first, small changes, AI for mechanical work. The patterns that don't break things. FIND_VIDEO: search 'AI refactoring tutorial safe code transformation' — recommended channel: Cursor / Anthropic / Test-Driven.io. Aim for 10 min or under. https://www.youtube.com/embed/AkG-BZ-708U 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m01-daily-workflow-with-ai/debugging-with-ai https://i.ytimg.com/vi/n2d36gj_wIU/maxresdefault.jpg Debugging with AI The patterns for getting AI to help debug: share context, isolate the problem, iterate. FIND_VIDEO: search 'debugging with AI claude effective prompt' — recommended channel: Anthropic / Theo. Aim for 10 min or under. https://www.youtube.com/embed/n2d36gj_wIU 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m01-daily-workflow-with-ai/writing-tests-with-ai https://i.ytimg.com/vi/9vPyxCucxqI/maxresdefault.jpg Writing Tests with AI AI's killer use case: generating tests. Best practices for getting useful tests, not generic ones. FIND_VIDEO: search 'AI generated tests pytest coverage edge cases' — recommended channel: Cursor / Anthropic / Pytest with Eric. Aim for 10 min or under. https://www.youtube.com/embed/9vPyxCucxqI 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m02-advanced-workflows/multi-file-edits-agentic-workflows https://i.ytimg.com/vi/eSP7PLTXNy8/maxresdefault.jpg Multi-File Edits & Agentic Workflows When AI drives across many files. The agentic patterns that work, and where they fail. FIND_VIDEO: search 'claude code cursor agent mode multi-file edits' — recommended channel: Anthropic / Cursor / Theo. Aim for 11 min or under. https://www.youtube.com/embed/eSP7PLTXNy8 2026-05-27T09:57:46.495Z 660 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m02-advanced-workflows/code-review-with-ai https://i.ytimg.com/vi/gR1HmrfcaIo/maxresdefault.jpg Code Review with AI AI as a pre-PR reviewer. Catches bugs, style issues, security problems before humans see them. FIND_VIDEO: search 'AI code review pre-PR claude code reviewer' — recommended channel: Anthropic / Cursor / Theo. Aim for 10 min or under. https://www.youtube.com/embed/gR1HmrfcaIo 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m02-advanced-workflows/ai-for-architecture-design https://i.ytimg.com/vi/kZ-zzHVUrO4/maxresdefault.jpg AI for Architecture & Design AI as a brainstorming partner for architecture. The patterns that work; the patterns that don't. FIND_VIDEO: search 'AI architecture design system claude opus' — recommended channel: Anthropic / Theo / Matt Pocock. Aim for 10 min or under. https://www.youtube.com/embed/kZ-zzHVUrO4 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/ai-assisted-coding/ai-assisted-coding-m02-advanced-workflows/custom-instructions-memory https://i.ytimg.com/vi/rFWxRZ5D-lM/maxresdefault.jpg Custom Instructions & Memory Persistent context: CLAUDE.md, .cursorrules, system prompts. Make AI always follow your project's conventions. FIND_VIDEO: search 'claude code CLAUDE.md cursorrules custom instructions' — recommended channel: Anthropic / Cursor. Aim for 10 min or under. https://www.youtube.com/embed/rFWxRZ5D-lM 2026-05-27T09:57:46.495Z 600 https://www.topfolio.in/courses/python-eda-data-viz/python-eda-data-viz-m01-connecting-python-to-relational-databases-sql/connecting-python-to-sqlite-databases https://i.ytimg.com/vi/pd-0G0MigUA/maxresdefault.jpg Connecting Python to SQLite Databases Learn to connect Python to SQLite, execute DDL/DML queries, insert records, and handle parameterized queries safely. https://www.youtube.com/embed/pd-0G0MigUA 2026-08-25T17:47:09.101Z 1440 https://www.topfolio.in/courses/python-eda-data-viz/python-eda-data-viz-m01-connecting-python-to-relational-databases-sql/reading-and-writing-data-to-sql-databases-with-pandas https://i.ytimg.com/vi/M-4EpNdlSuY/maxresdefault.jpg Reading and Writing Data to SQL Databases with Pandas Integrate Pandas with external SQL databases via SQLAlchemy: pd.read_sql_query(), pd.read_sql_table(), and df.to_sql(). https://www.youtube.com/embed/M-4EpNdlSuY 2026-08-25T17:47:09.101Z 660 https://www.topfolio.in/courses/python-eda-data-viz/python-eda-data-viz-m02-high-impact-visual-storytelling-matplotlib-seaborn/matplotlib-foundations-creating-customizing-plots https://i.ytimg.com/vi/UO98lJQ3QGI/maxresdefault.jpg Matplotlib Foundations: Creating & Customizing Plots Introduction to Matplotlib: line plots, styles, formatting, titles, axis labels, legends, and exporting figures. https://www.youtube.com/embed/UO98lJQ3QGI 2026-08-25T17:47:09.101Z 1200 https://www.topfolio.in/courses/python-eda-data-viz/python-eda-data-viz-m02-high-impact-visual-storytelling-matplotlib-seaborn/matplotlib-subplots-the-object-oriented-interface https://i.ytimg.com/vi/XFZRVnP-MTU/maxresdefault.jpg Matplotlib Subplots & The Object-Oriented Interface Master the Object-Oriented Matplotlib interface: fig, ax = plt.subplots(), multi-panel dashboards, and shared axes. https://www.youtube.com/embed/XFZRVnP-MTU 2026-08-25T17:47:09.101Z 1260 https://www.topfolio.in/courses/python-eda-data-viz/python-eda-data-viz-m02-high-impact-visual-storytelling-matplotlib-seaborn/statistical-visualizations-with-seaborn https://i.ytimg.com/vi/ooqXQ37XHMM/maxresdefault.jpg Statistical Visualizations with Seaborn Create automated statistical charts directly from DataFrames: barplot, countplot, boxplot, and histplot. https://www.youtube.com/embed/ooqXQ37XHMM 2026-08-25T17:47:09.101Z 1320 https://www.topfolio.in/courses/python-eda-data-viz/python-eda-data-viz-m03-the-systematic-exploratory-data-analysis-eda-workflow/real-world-exploratory-data-analysis-with-python https://i.ytimg.com/vi/eMOA1pPVUc4/maxresdefault.jpg Real-World Exploratory Data Analysis with Python Complete real-world project analyzing 12 months of sales data: cleaning, date parsing, and visual business insights. Pre-read the 6-Step Blueprint above, then re-watch for technique. https://www.youtube.com/embed/eMOA1pPVUc4 2026-08-25T17:47:09.101Z 2280