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Course Contents (0/44)
Python Essentials for Data Analytics
Micro Free Courses
Python Essentials for Data Analytics
44 lessons
1. PYTHON SETUP & ENVIRONMENT
Video lesson
1. Installing Python
4m
Video lesson
2. Installing Jupyter Notebook
3m
Reading
3. Setting Up Your Python Environment (VS Code, venvs & pip)
4m
2. PYTHON FUNDAMENTALS
Video lesson
1. Python Variables
2m
Video lesson
2. Python Basic Datatypes
9m
Interactive tutorial
3. QUIZ: Variables & Datatypes
6m
Video lesson
4. Python Lists
3m
Video lesson
5. Python Dictionaries
8m
Reading
6. List Comprehensions & Advanced Collections
4m
Interactive tutorial
7. QUIZ: Lists & Dictionaries
6m
Project submission
8. ASSIGNMENT: Lists & Dict
32m
Video lesson
9. Python For Loops
5m
Video lesson
10. Python While Loops
7m
Interactive tutorial
11. QUIZ: For & While Loops
6m
Video lesson
12. Python If Conditions
8m
Video lesson
13. Python Functions
14m
Project submission
14. ASSIGNMENT: Loops, if conditions & functions
31m
Video lesson
15. Python Strings
17m
Reading
16. Text Wrangling Essentials: split, join, and formatting
3m
Video lesson
17. Python Regular Expressions (Regex)
6m
Interactive tutorial
18. QUIZ: Python Fundamentals
17m
Project submission
19. ASSIGNMENT: Python Fundamentals
32m
3. NUMPY FOUNDATIONS
Video lesson
1. NumPy vs Python Lists
11m
Video lesson
2. NumPy Basics
14m
Interactive tutorial
3. QUIZ: Numpy Basics
12m
Video lesson
4. NumPy Broadcasting
6m
Video lesson
5. NumPy Aggregations
4m
Reading
6. NumPy Vectorization, Boolean Masks & Statistical Aggregations
4m
Interactive tutorial
7. QUIZ: Numpy Foundations
18m
Project submission
8. ASSIGNMENT: NumPy Foundations
32m
4. PANDAS FOR DATA ANALYTICS
Video lesson
1. DataFrame & Series Basics: Selecting Rows and Columns
34m
Video lesson
2. Reading & Writing Data
33m
Interactive tutorial
3. QUIZ: Basics
6m
Video lesson
4. Filtering & Sorting
6m
Video lesson
5. Handling Missing Values
4m
Reading
6. Mastering Pandas Data Cleaning: dropna, fillna, and Type Casting
3m
Video lesson
7. Working with Date & Time
10m
Interactive tutorial
8. QUIZ: Basic Filtering, etc.
9m
Project submission
9. ASSIGNMENT: Pandas Basics
32m
Video lesson
10. Combining DataFrames: SQL-Style Relational Merges
8m
Video lesson
11. Groupby & Aggregations
11m
Reading
12. Essential Pandas Wrangling: Merging, GroupBy Best Practices & reset_index
3m
Interactive tutorial
13. QUIZ: Pandas Module
14m
Project submission
14. ASSIGNMENT: Pandas Module
32m
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NUMPY FOUNDATIONS
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QUIZ: Numpy Foundations
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QUIZ: Numpy Foundations
18 minutes
Interactive tutorial
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Based on the introduction video, what are the three main benefits of using NumPy arrays over Python lists?
It consumes more memory but is faster.
It consumes less memory, is faster, and more convenient.
It is slower but easier to read.
It handles text data better than lists.
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