May 2026
Wed 13 May 2026 - Tue 13 May 2036
09:00 AM - 05:00 PM (1 day)
A beginner-friendly, self-paced course that equips students with the fundamentals needed to read, write, and reason about Python code with confidence.
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Wed 13 May 2026 - Tue 13 May 2036
09:00 AM - 05:00 PM (1 day)
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.
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Wed 13 May 2026 - Tue 13 May 2036
09:00 AM - 05:00 PM (1 day)
This course builds directly on Intro to Python and introduces students to the essential tools and workflows for applying Python in data science.
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