Python Data Analysis Exercises

A practical collection of beginner-to-intermediate Python data analysis exercises using pandas, numpy, and matplotlib.

This repository is designed to show consistent practice in data analysis, clean coding, and reproducible notebooks.

Goals

• Practice real data analysis workflows step by step
• Improve pandas, NumPy, and matplotlib skills
• Build a public GitHub portfolio with clean commits
• Create small, readable examples that can be reviewed by teachers, employers, or students

Repository Structure

python-data-analysis-exercises/
├── data/                 # Small sample datasets
├── exercises/            # Exercise files with TODO tasks
├── solutions/            # Completed reference solutions
├── notebooks/            # Jupyter notebooks for exploration
├── docs/                 # Extra notes and learning guides
├── requirements.txt      # Python dependencies
└── README.md             # Project documentation

Setup

Create and activate a virtual environment:

python -m venv .venv

On Windows:

.venv\Scripts\activate

On macOS/Linux:

source .venv/bin/activate

Install dependencies:

pip install -r requirements.txt

Exercises

No.	Topic	File
01	Pandas basics	exercises/01_pandas_basics.py
02	Missing values and cleaning	exercises/02_cleaning_missing_values.py
03	GroupBy and aggregation	exercises/03_groupby_analysis.py
04	Basic visualization	exercises/04_visualization.py

How to Run

Example:

python exercises/01_pandas_basics.py

Or open the notebook:

jupyter notebook notebooks/01_sales_analysis.ipynb

Suggested Progress Plan

• Day 1: Complete pandas basics
• Day 2: Complete missing value cleaning
• Day 3: Complete groupby analysis
• Day 4: Complete visualization
• Day 5: Add one new dataset and one new exercise
• Day 6: Improve README and add screenshots
• Day 7: Refactor code and commit improvements

Skills Demonstrated

• Python programming
• Data loading and inspection
• Data cleaning
• Exploratory data analysis
• GroupBy operations
• Basic visualization
• Git and GitHub workflow

License

This project is licensed under the MIT License.