DSST 289: Introduction to Data Science • Fall 2022 • Taylor Arnold
[syllabus]
[me]
[zoom]
[materials.zip]
[doc]
[sheet]
[preclass form]
[⇒]
Reading
Slides
Solutions
2022-08-22
Mon.
[introduction]
Wed.
01. Working with R
[tabular data]
[notebook01]
2022-08-29
Mon.
02. Grammar of Graphics
[grammar of graphics]
[notebook02]
Wed.
03. Aesthetics & Scales
[notebook03]
2022-09-05
Mon.
04. Organize Data
[verbs]
[notebook04]
Wed.
05. Summarize Data
[summarize]
[notebook05]
2022-09-12
Mon.
06. Creating Features
[mutate]
[notebook06]
Wed.
[Exam 01: Study Guide]
[Exam 01: Solutions]
2022-09-19
Mon.
07. Creating Data
[antipatterns]
[notebook07]
Wed.
08. Data Feminism
[data feminism]
[notebook08]
2022-09-26
Mon.
09. Table Joins
[joins]
[notebook09]
Wed.
10. Table Pivots
[pivot]
[notebook10]
2022-10-03
Mon.
11. Review & Application I
[notebook11]
Wed.
12. Review & Application II
[notebook12]
2022-10-10
Mon.
[Fall Break]
Wed.
[No Class]
2022-10-17
Mon.
13. Normal Forms
[normal forms]
[notebook13]
Wed.
14. Tidy Models
[notebook14]
2022-10-24
Mon.
15. Exam II Review
[table examples]
[notebook15]
Wed.
[Exam 02: Study Guide]
[Exam 02: Solutions]
2022-10-31
Mon.
16. Cleaning Antipatterns
Wed.
17. Dates and Times
[datetime]
[notebook17]
2022-11-07
Mon.
18. Spatial Data
[spatial]
[notebook18]
Wed.
19. Spatial Joins
[notebook19]
2022-11-14
Mon.
20. Time Zones
[notebook20]
Wed.
[Exam 03: Study Guide]
[Exam 03: Solutions]
2022-11-21
Mon.
[No Class]
Wed.
[Thanksgiving Break]
2022-11-28
Mon.
[Conclusion / Workshop]
[Final Project: Instructions]
Wed.
Poster Session