You already think in spreadsheets. This week translates that thinking into Python: what the language is, why an analyst reaches for it, and the handful of bridges that map an Excel habit onto its Python equivalent. The work is hands-on, self-paced, and built to be run a line at a time.
Lab and Homework run as Colab notebooks and are being finalized. Start with the lecture and the trainers below now, and the notebooks will appear here when they are ready.
Self-paced deck. Each slide carries an in-deck AI tutor and a self-check. What Python actually is, why an analyst uses it alongside Excel, and the bridges that connect a formula, a fill-down, and a lookup to their Python counterparts.
Eight self-paced, notebook-style trainers you run a line at a time in the browser: types, paths, conditionals, loops, functions, reading files, the accumulator pattern, and a first look at pandas. Each one checks your work as you go.
A colorized companion that shows clean, readable Python beside a function reference. Use it to check your own code against a worked example and to look up the syntax you reach for most.
Lab and Homework
Lab 7Coming soon
A Colab notebook, currently being finalized. It will appear here and on Canvas when it is ready.
Homework 7Coming soon
A Colab notebook that has you debug a mixed-types CSV. Being finalized now; check back shortly.
The class AI is built into every page here. Open the Ask AI panel on the lecture, the launchpad, or any trainer. It can read what you have typed and nudge you toward the fix without handing you the answer. Use it while you work and tell me how it goes.