Data Science II with Python (CMPT 1530)

Starting from the foundation material covered in Data Science I with Python, the student is introduced to a number of fundamental machine learning concepts through Python. These include linear regression, k-nearest neighbour solutions, neural networks, and deep learning. The course ends with a section on data ethics. This course assumes that the student has successfully completed Data Science I with Python, or brings to the class equivalent knowledge through prior experience or education.

Required: A computer running Windows, MacOS, or Linux; stable high-speed internet connectivity; a microphone and webcam (ideal).
Course code: CMPT 1530
Credits: 0.0
Tuition: $0*
Length: 30.0 hours
Course outline: view
Campus: Varies Varies


Data Science with Python I (CMPT 1520), or equivalent prior knowledge through experience and/or education.

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