Topics
2 - R coding basics
Brightspace LMS
MSDS Program Page
CUNYfirst
Announcements
Schedule
Course information
Syllabus
Instructor
Data Project
Software
Topics
1 - Introduction to R and RStudio
2 - R coding basics
3 - Data (importing and structure)
4 - Reshaping data
5 - Data visualization with ggplot2
6 - Probability
7 - Distributions
8 - Foundation for inference
9 - Central limit theorem
10 - Inference for proportions
11 - Inference for two-way tables
12 - Inference for numerical data
13 - Analysis of variance
14 - Correlation
15 - Wrap up / Final Presentations
Topics
2 - R coding basics
R coding basics
Readings
R four Data Science
chapter 2
and
chapter 3
Assignments
R Coding Basics
Additional Resources
1 - Introduction to R and RStudio
3 - Data (importing and structure)