An introduction to fundamental data science concepts including basic data organization, data collection, and data cleaning. Includes a review of basic programming concepts in Python, as well as an introduction to the fundamentals of data visualization and critical thinking with data. Also provides an introduction to data ethics, security, and privacy.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Graduate Certificate in Fundamental Data Science and Analytics, or the Graduate Diploma in Data Science and Analytics, or the Master of Data Science and Analytics.
Sections
| LEC 1 | MW 09:00 - 11:45
| WEB BASED
| | | |
| Notes:
See the course outline for schedule details |
| LEC 2 | MW 17:00 - 19:45
| WEB BASED
| | | |
| Notes:
See the course outline for schedule details |
| LEC 3 | MW 17:00 - 19:45
| WEB BASED
| | | |
This course will be offered next in
Winter 2022.