Roadmap
From first notebook to first project.
Move at your own pace. Each stage gives you something concrete to practice and a useful outcome to share.
- 01
Start with the basics
Set up Python, learn how notebooks work, understand files and folders, and get comfortable asking for help.
Outcome You can run a notebook and explain what each step does.
- 02
Work with data
Practice loading, cleaning, filtering, and describing a small dataset with Python and pandas.
Outcome You can turn a raw table into a clear first observation.
- 03
Learn the research habit
Read an accessible paper, identify its question and evidence, and keep notes that someone else can follow.
Outcome You can summarize a study without losing its important limitations.
- 04
Build a small project
Choose a question, find or collect appropriate data, make a simple analysis, and share what you learned.
Outcome You have a small, explainable project to discuss with the committee.
Suggested starting points
Learn from clear, practical material.
- Kaggle Learn — short lessons for Python, pandas, and data visualization.
- The Python tutorial — a dependable reference as you practice.
- Our resources — the small collection we are building for committee members.
How to use this roadmap
Choose one stage
Start where you are. You do not need to complete everything in order.
Practice in public
Bring questions, partial work, and mistakes to group sessions.
Share your progress
A short explanation of what you tried is already a useful contribution.