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
Length: 30 hours
PrerequisitesData Science with Python I (CMPT 1520), or equivalent prior knowledge through experience and/or education.
* Fees are approximate and subject to change. Students are required to pay any applicable fee increases. Fees listed are for domestic students. For international programs, visit VCC International.
† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.