Python Essentials for Data Analytics
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ASSIGNMENT: Pandas Basics

Using a provided CSV dataset, create a Jupyter Notebook that demonstrates core pandas skills. Your submission should include: loading the data with read_csv, exploring it with head/info/describe, filtering rows using boolean conditions, sorting by one or more columns, handling missing values (identify, drop, or fill), and working with date columns. Include at least 3 insights you discovered from the data.

32 minutesProject submission
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Assignment Instructions

Pandas Fundamentals: 40 Question Challenge

A comprehensive interactive workbook covering Series, DataFrames, Data Cleaning, and Time Series.

This notebook integrates concepts from five essential tutorials to build a robust foundation in Data Analysis with Python.

  • Series & DataFrame Creation
  • Complex Filtering (AND/OR/NOT)
  • Advanced Indexing (loc vs iloc)
  • Handling Missing Data (Fill/Drop)
  • Date & Time Manipulation
  • Sorting & Aggregating
Download Notebook Requires Jupyter Notebook or Use Google Collab
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