Asabeneh/data-analysis-spring-2026 — reverse-engineered prompt

Reverse engineered prompt

GitHub

Build me a beginner friendly Python data analysis practice project for a spring 2026 class. I want to be able to open Jupyter notebooks and learn by running real examples, starting with NumPy and pandas, then data exploration, basic ETL, SQL or MySQL loading, and a simple sentiment analysis demo.

Use small sample datasets like cats data and weight versus height data, with both CSV and JSON examples where it makes sense. Include clear notebook explanations, clean charts or summaries, and simple scripts for loading data, wiping demo data, and running the ETL flow. If there is a small web app folder, make it a basic interface for viewing or exploring the prepared data, not something overly fancy.

Please organize everything so a non expert can clone it, install what they need, and run the notebooks in order without guessing. Add a short README with setup steps, what each notebook teaches, and any commands needed. Look up current docs online if you need to.

Want more depth? Deep Reverse