Data 505: R for Statistics
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Syllabus
Schedule
Lectures
Week 1 (Aug 26)
Week 2 (Sep 2)
Week 3 (Sep 9)
Week 4 (Sep 16)
Week 5 (Sep 23)
Week 6 (Sep 30) - exam 1
Week 7 (Oct 7) - fall break
Week 8 (Oct 14)
Week 9 (Oct 21)
Week 10 (Oct 28)
Labs
Lab 1 (Week 1 / Aug 26)
Lab 2 (Week 2 / Sep 2)
Lab 3 (Week 3 / Sep 9)
Lab 4 (Week 4 / Sep 16)
Homework
Homework 1 (Quiz on Sep 2)
Homework 2 (Quiz on Sep 16)
Homework 3 (Quiz on Nov 4)
Exams
Exam 1 (Sep 30) review and practice
Case Studies
Box Office Analysis (Oct 14-21)
Useful links
Moodle
RStudio User Guide
Quarto Documentation
GitHub Repository
Syllabus
The syllabus is available on Moodle:
Link
.