This course introduces data science to students with prior computing experience. It covers the basics of data acquisition, manipulation, transformation, and cleaning, as well as data analysis (e.g., regression, clustering, classification) and visualization. Students learn principles and techniques of efficient data-driven communication and decision-making in various domains using industry-standard tools. Prerequisite: CMPUT 174 or CMPUT 274 or ENCMP 100. Credit cannot be obtained for both CMPUT 191 and CMPUT 195.
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
|
LECTURE B1
(79785) |
100 |
2027-01-04 - 2027-04-09 (TR)
14:00 - 15:20
|
|
| Section | Capacity | Class times | Login to view Instructor(s) and Location |
|---|---|---|---|
|
LAB H01
(79826) |
78 |
2027-01-04 - 2027-04-09 (T)
17:00 - 19:50
|
|
|
LAB H02
(79827) |
22 |
2027-01-04 - 2027-04-09 (R)
17:00 - 19:50
|
|