| layout | title | tagline | description |
|---|---|---|---|
page |
Computing Tools for Data Analytics |
course website, UW-Madison, Statistics 679 |
Course Description for:
- target audience
- learning objectives
- topics covered
- hardware requirements
- assessments
Course Material
- schedule
- lecture notes
- data for lecture examples:
- we will use many data and sup files from the book 'Bioinformatics Data Skills' by Vince Buffalo
- other data will be posted on github
- data, instructions & rubric for assignments and final project: will be distributed via the 2018 github classroom.
- classlist: [email protected] will be used once, and then all communication will be via canvas announcements / discussions
- canvas for grades
Resources
- linuxcommand.org and bashguide
- Software Carpentry and last session at UW-Madison
- Reproducible Research by Karl Broman: talk and course
- Karl Broman's excellent short tutorials on git/github, make, perl, and more.
- Bioinformatics Data Skills by Vince Buffalo
- Professional Skills for Data Science by Brian Yandell, and his course on the same topic Stat 627.
- Jenny Bryan's stat 545 at UBC