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Data Science

Course Descriptions and Schedule

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 Data Scientists.


Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync M
7 – 9:30 p.m. 55
InstructorCourse FormatStatusCAESAR Course ID
Srinivasan, Syamala
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/17/19Optional Sync Tu
7 – 9:30 p.m. 56
InstructorCourse FormatStatusCAESAR Course ID
Fulton, Lawrence
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync M
7 – 9:30 p.m. 57
InstructorCourse FormatStatusCAESAR Course ID
Tsapara, Irene
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync Th
7 – 9:30 p.m. 58
InstructorCourse FormatStatusCAESAR Course ID
Gatz, Karen
Online
Open

Winter 2019
Start/End DatesDay(s)TimeBuildingSection
01/07/19 - 03/25/19Optional Sync Tu
7 – 9:30 p.m. 59
InstructorCourse FormatStatusCAESAR Course ID
Tsapara, Irene
Online
Open
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