SDS 3386 Data Science Lab

3 units
Data Science
Faculty of Sciences
Data management and analysis. A lab- and project- based course including: data manipulation and cleaning; exploratory data analysis and visualization; regression and classification methods; evaluating results and writing reports.

Components:

Laboratory

Requirements:

Prerequisites: ITI 1120 , (( MAT 2371 , MAT 2375 ) or MAT 2377 ).

Previously Offered Terms:

Fall

French Equivalent:

All Professors
A Average (9.041)
Most Common: A (40%)
73 students

P

S

NS

F

D

C

B

A-

A+

Tanya Schmah

2 sections from Fall 2022 to Fall 2023

A Average (9.160)
Most Common: A+ (44%)
50 students

P

S

NS

F

D

C

B

A-

A+

Peter Rabinovitch

Fall 2019 - A00

A Average (8.783)
Most Common: A (48%)
23 students

P

S

NS

F

D

C

B

A-

A+