Data! Science! What’s not to like?
| Instructors: | Dr. William E. M. Lowe and Prof. Simon Munzert |
| Office: | Room 3.14 (WL) and Room 3.13.1 (SM) |
| Office Hours | By arrangement. Email the instructors directly. |
| Class Times | Thursdays 14:00-16:00 |
| Date | Title | Instructor | |
|---|---|---|---|
| 1 | 10.09.2020 | Overview and Basic Workflow | Will |
| 2 | 17.09.2020 | Version Control and Coding Style | Simon |
| 3 | 24.09.2020 | Relationally Structured Data | Will |
| Assignment 1 out | |||
| 4 | 01.10.2020 | Spatial Data | Simon |
| Assignment 2 out | |||
| 5 | 08.10.2020 | Text Data | Will |
| Assignment 3 out | |||
| 6 | 15.10.2020 | Web Data | Simon |
| Assignment 4 out | |||
| 7 | 29.10.2020 | Experimental and Crowdsourced Data | Simon |
| 8 | 05.11.2020 | Fitting Models | Will |
| 9 | 12.11.2020 | Visualization | Simon |
| 10 | 19.11.2020 | Trouble with Big Data | Will |
| 11 | 26.11.2020 | Debugging, Automation, and Packaging | Simon |
| Assignment 5 out | |||
| 12 | 03.12.2020 | Special Topics | Will |
| 14.12.2020 | Final Exam Week |
R4DS Grolemund, G., & Wickham, H. (2018). R for Data Science. O’Reilly.
AdvR Wickham, H. (2019). Advanced R. CRC Press.
Jenny Bryan STAT 545: Data wrangling, exploration, and analysis with R
Mine Cetinkaya-Rundel STA 199: Intro to data science
RStudio Data science in a box
Greg Wilson R for Data Science Instructor’s Guide
Garrett Grolemund Hands-On Programming with R
Hadley Wickham R Packages
Edwin Thoen Agile Data Science with R
Colin Rundel Statistical Programming