The course website for STA130 Winter 2019 can be found on Quercus
Midterm Test Information
Midterm test information is available here.
TA Office Hours
TA office hours will be held in SS623B (Sidney Smith lower level).
Schedule for TA office hours after December 6
- Thursday, December 13, 11am-1pm
- Friday, December 14, 11am-1pm
- Monday, December, 17, 2-5pm
- Tuesday, December 18, 2-5pm
Weekly office hours will be held on:
- Wednesday: 14:00 - 17:00
- Thursday: 11:00 - 13:00
Instructors
Professor Nathan Taback and Professor Nathalie Moon.
Syllabus
Important information about the course can found on the Fall 2018 syllabus.
Course Calendar
Important course dates can be found in the course calender.
Computing
The course will use R for computing. R is freely available here. We recommend using R Studio which can be downloaded for free. We will use R Markdown as an authoring framework for creating reproducible data science documents.
Getting Started with R
- If you have never programmed before then Hands-On Programming with R, by Garrett Grolemund is a great place to start.
- R for Data Science, by Hadley Wickham and Garrett Grolemund is a wonderful resource.
- A list of more resources is available on the course website here.
RStudio Cloud or RStudio Desktop
Students in the course will be able to do all computing on R Studio Cloud https://rstudio.cloud
Another alternative is to install RStudio on your own computer. You will need to download R then RStudio.
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