Course Catalog
STAT5100 - Fundamental Of Data Science
Fall 2022
This course aims to provide students with a solid background in problem formulation and the fundamental statistical techniques and applications to data science. Topics include problem formulation, descriptive statistics, inferential statistics, confidence intervals, hypothesis testing, non-parametric statistics, experimental design, and categorical data. Emphasis will be placed on applying these techniques to large data sets. The language R will be used extensively. It is assumed that students will already have taken an undergraduate course in statistical techniques.
3 Credits
3 Credits
Course Registration will occur in the Banner system. For information on how to register and planning tools to ensure that you're Ready to Register please visit: Introducing Banner Self-Service Preparing to register Login to Banner Self-Service |
M Monday
T Tuesday
W Wednesday
R Thursday
F Friday
S Saturday
U Sunday
Schedule Book for All Active and Available Future Terms, Course starting with STAT5100
Page 1 of 1
Credits:
3
Days: ONLINE
Location: Internet/ Online
Room:
Days: ONLINE
Location: Internet/ Online
Room:
Time:
-
Instructor: Hudak
Session: 2 (01/13/2024 - 03/08/2024)
Term: Spring 2024
Instructor: Hudak
Session: 2 (01/13/2024 - 03/08/2024)
Term: Spring 2024
Course is taught Fully Online.
Credits:
3
Days: ONLINE
Location: Internet/ Online
Room:
Days: ONLINE
Location: Internet/ Online
Room:
Time:
-
Instructor: Hudak
Session: 2 (08/24/2024 - 10/18/2024)
Term: Fall 2024
Instructor: Hudak
Session: 2 (08/24/2024 - 10/18/2024)
Term: Fall 2024
Course is taught Fully Online.