AI Micro-Internship · ~240 min · builder
Full EDA in a real notebook — code, charts, narrative
Graduate from spreadsheets: do a complete exploratory data analysis in a Google Colab notebook — pandas for the wrangling, matplotlib for the charts, markdown cells for the story. AI can write code with you, but every cell must run and you must be able to explain it.
Steps
- 01Pick a real dataset with 200+ rows (Kaggle, data.gov.in, or data you collected in earlier missions).
- 02In Colab: load, inspect, clean (show the mess you found), and explore — distributions, group comparisons, at least 3 charts.
- 03Write the narrative in markdown cells as you go: question → what the cell shows → so what.
- 04Run the whole notebook top-to-bottom cleanly ("Restart and run all"), then share it with a public link.
Tools: Google Colab (free), An AI coding assistant, A real dataset
Your submission
Submit the dataset link, the public notebook link (must be viewable without login), your summary of findings, and your favourite chart. We check that cells ran in order.