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.
Sections
| LEC 1 | MW 09:00 - 11:45
| | Usman Alim | | |
| Notes:
Synchronous/Asynchronous schedule will be provided in the course outline via D2L |
| LEC 2 | MW 17:00 - 19:45
| | Usman Alim | | |
| Notes:
Synchronous/Asynchronous schedule will be provided in the course outline via D2L |
This course will be offered next in
Fall 2021.