Data Science I with Python (CMPT 1520)

In this course, you will be introduced to fundamental data science concepts using the Python programming language. The course will review the major data science knowledge areas, including data visualization, linear algebra, statistics, and probability. The course ends with practical how-to material on both retrieving and preparing data for subsequent levels of analysis. Students will interact with a subject matter expert for 10 synchronous one-hour sessions and are expected to engage in self-directed learning for approximately two hours per week.

This training assumes that the student already has at least basic programming skills. Please note: one of the course modules provides a crash introduction to Python for those that need to review Python or are switching to Python from another language.

Required: A computer running Windows, MacOS, or Linux; stable high-speed internet connectivity; a microphone and webcam (ideal).
Course code: CMPT 1520
Credits: 0.0
Length: 30.0 hours
Course outline: view
Campus: Varies Varies


CMPT 1510 (Introduction of Python Programming); or
equivalent prior programming knowledge/experience.

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