STAT 207
Fall 2021 All Classes
All Classes
Credit: 4 hours.
Explores the data science pipeline from hypothesis formulation, to data collection and management, to analysis and reporting. Topics include data collection, preprocessing and checking for missing data, data summary and visualization, random sampling and probability models, estimating parameters, uncertainty quantification, hypothesis testing, multiple linear and logistic regression modeling, classification, and machine learning approaches for high dimensional data analysis. Students will learn how to implement the methods using Python programming and Git version control.
Prerequisite: STAT 107 or consent of instructor.
This course satisfies the General Education Criteria in
Fall 2022 for:
Quantitative Reasoning II
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
75284
|
Lecture
|
AL2
|
3:30PM
-4:50PM
|
TR
|
4029 Campus Instructional Facility
|
Ellison, T
|
|
|
|
75451
|
Laboratory-Discussion
|
AYB
|
3:00PM
-4:50PM
|
W
|
32 Psychology Building
|
Li, Y
|
|
|
|
75452
|
Laboratory-Discussion
|
AYC
|
5:00PM
-6:50PM
|
W
|
32 Psychology Building
|
Li, Y
|
|