Data Science Schedule
The schedule table is subject to change. Please check the course pages for the latest schedule and cost information. We recommend enrolling at least one day ahead of course start date to ensure you gain course access before the first day of class. If this is your first course, we recommend enrolling at least two days before.
Learning format definitions:
- VC = Virtual Classroom learning format
- O = Online learning format
- OSS = Online Self-Study learning format
For more information about our learning formats and to choose a format that works best for you, please visit our Learning Formats page.
| Course Name (Course Code) | Winter 2023 | Spring 2023 |
|---|---|---|
| Statistical Analysis for Data Science (DAT 200) | Date: Sat, May 6 – Jul 15
Time: 1:00 – 4:00 p.m. Format: VC |
|
| Data Analytics & Modelling (DAT 201) | Date: Sat, Jan 14 – Apr 15
Time: 9:00 – 12:00 p.m. Format: VC |
Date: Sat, May 6 – Aug 12
Time: 9:00 – 12:00 p.m. Format: VC |
| Data Management (DAT 202) | Date: Wed, Jan 18 – Apr 5
Time: 7:00 – 10:00 p.m. Format: VC |
Date: Wed, May 3 – Jul 19
Time: 7:00 – 10:00 p.m. Format: VC |
| Predictive Modelling & Data Mining (DAT 203) | Date: Sat, May 6 – Aug 12
Time: 9:00 – 12:00 p.m. Format: VC |
|
| Machine Learning for Big Data Analytics (DAT 301) | Date: Tues, May 2 – Jul 18
Time: 7:00 – 10:00 p.m. Format: VC |
|
| Data Analytics Tools (DAT 204) | Date: Sun, Jan 15 – Apr 16
Time: 9:30 – 12:30 p.m. Format: VC |
Date: Sun, May 14 – Aug 20
Time: 9:30 – 12:30 p.m. Format: VC |
| Data Science Capstone Project (DAT 205) |
|