CMPUT 191 - Introduction to Data Science

★ 3 (fi 6)(EITHER, 3-0-3)

Faculty of Science

Introduction to data acquisition, basic data manipulation (cleaning, outlier detection), analysis (regression, clustering, classification), basic statistics and machine learning tools, information visualization to communicate information from data. Prerequisite: Math 30-1. This course cannot be taken for credit if credit has been obtained in CMPUT 174, 195, or 274.

No syllabi

Fall Term 2023

Lectures

Section Capacity Dates + Times Instructor(s)
LECTURE A1
(87363)
60
2023-09-05 - 2023-12-08
TH 14:00 - 15:20 (ECHA 1-498)

Labs

Section Capacity Dates + Times Instructor(s)
LAB D01
(87364)
60
2023-09-05 - 2023-12-08
W 14:00 - 16:50 (ETLC E2-001)