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