Course Schedule, Part-time Online Program
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.
MSDS 401-DL : Applied Statistics with R
Description
This course teaches fundamentals of statistical analysis. This includes evaluating statistical information, performing data analyses, and interpreting and communicating analytical results. Students will learn to use the R language for statistical analysis, data visualization, and report generation. Topics covered include descriptive statistics, central tendency, exploratory data analysis, probability theory, discrete and continuous distributions, statistical inference, correlation, multiple linear regression, contingency tables, and chi-square tests. Selected contemporary statistical concepts, such as bootstrapping, are introduced to supplement traditional statistical methods.
Recommended prior course: MSDS 400-DL Math for Modelers
Summer 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/17/24 - 08/25/24 | Sync Session M | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Srinivasan, Syamala | Online | Open |
Summer 2024 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
06/17/24 - 08/25/24 | Sync Session W | 7 – 9:30 p.m. | 56 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Waggoner, Philip | Online | Open |