GNG 5125 Data Science Applications

3 units
General Engineering
Faculty of Engineering
Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools.

Components:

Lecture

Requirements:

Courses CSI 5155 , CSI 5387 , DTI 5125 , EBC 5125, GNG 5125 cannot be combined for units.

Previously Offered Terms:

Winter
Summer
All Professors
A Average (9.328)
Most Common: A+ (59%)
174 students

P

S

NS

F

D

C

B

A-

A+

Arya Rahgozar

8 sections from Summer 2019 to Summer 2024

A Average (9.328)
Most Common: A+ (59%)
174 students

P

S

NS

F

D

C

B

A-

A+