A beginner-friendly, self-paced course that equips students with the fundamentals needed to read, write, and reason about Python code with confidence.

A self-paced, 2-day equivalent course designed for analysts, data scientists, and engineers who rely on Jupyter Notebooks for real work- not just experimentation.

This course builds directly on Intro to Python and introduces students to the essential tools and workflows for applying Python in data science.