Learn Pandas: Expanded Project Guides
Generated from:
LEARN_PANDAS_DEEP_DIVE.mdThis folder contains deep-dive guides for each project in the learning path.
Overview
These projects take you from basic DataFrame exploration to advanced dataset synthesis. You will practice the full data analysis workflow: ingestion, inspection, filtering, cleaning, aggregation, and merging, with clear deliverables and verification steps for each project.
Project Index
| # | Project | Difficulty | Time | Key Focus |
|---|---|---|---|---|
| 1 | The First DataFrame - Exploring and Filtering | Beginner | A few hours | Ingestion, selection, boolean indexing |
| 2 | The Data Janitor - Cleaning a Messy Dataset | Intermediate | Weekend | Missing data, type fixes, string cleanup |
| 3 | The Business Analyst - GroupBy and Aggregation | Intermediate | Weekend | Split-apply-combine, aggregation, reporting |
| 4 | The Data Synthesizer - Merging and Joining Datasets | Advanced | Weekend | Joins, keys, multi-table analysis |
Prerequisites
- Basic Python: variables, lists, dictionaries, functions
- Comfortable running scripts or notebooks
- Basic understanding of tables (rows, columns, keys)
Learning Paths
- Fast Start: Project 1 -> Project 3 -> Project 4
- Complete Path: Project 1 -> Project 2 -> Project 3 -> Project 4