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DATA 542
Course Syllabus (Official)
About this course
Course Schedule and Learning Intentions
Accommodations
Lectures
Lecture 1
Lecture 2
Lecture 3
Lecture 4
Wrangling with the tidyverse
1-Intro to R via tidyverse
2-Data types and operators
3-Dates, Strings as factors
4-Table Joins and Base Control Flow
5-Tidyverse control-flow
6-Functions and Testing
7-Mapping and nested data frames
8-Tidy Evaluation
Labs
Accept the Labs
Course Feedback
Anonymous Feedback Form
repository
open issue
Index
