Lectures

The ideal schedule is given below. Chapters refer to the book An Introduction to Statistical Programming Methods with R

Class-related discussion and questions will be on Slack, do not forget to register here.

Week Date Time Topic Instructor Videos
1 27 Sept 9:00 - 10:00 Introduction, RMarkdown, GitHub Samuel Orso RMarkdown, GitHub
1 27 Sept 10:15 - 12:00 R/RStudio installation, Homework #0, R coding style guide Aleksandr Shemendyuk
2 4 Oct 9:00 - 10:00 Data structures Samuel Orso Data strucutres
2 4 Oct 10:15 - 12:00 Project-oriented workflow, Homework #1 Aleksandr Shemendyuk
3 11 Oct 9:00 - 10:00 Control structures Samuel Orso Control structures
3 11 Oct 10:15 - 12:00 Homework #2 Aleksandr Shemendyuk
4 18 Oct 9:00 - 10:00 Functions, Group projects Samuel Orso Functions
4 18 Oct 10:15 - 12:00 Homework #2 Aleksandr Shemendyuk
5 25 Oct 9:00 - 10:00 Shiny Web applications, Logistic regression Samuel Orso Shiny
5 25 Oct 10:15 - 12:00 Homework #3 Aleksandr Shemendyuk
6 1 Nov Project proposal coaching
7 8 Nov 9:00 - 10:00 R-packaging Samuel Orso Packages
7 8 Nov 10:15 - 12:00 Homework #3 Aleksandr Shemendyuk
8 15 Nov 9:00 - 10:00 High performance computing Samuel Orso Rcpp
8 15 Nov 10:15 - 12:00 Homework #4 Aleksandr Shemendyuk
9 22 Nov 9:00 - 10:00 Webscraping Samuel Orso Webscraping
9 22 Nov 10:15 - 12:00 Homework #4 Aleksandr Shemendyuk
10 29 Nov 9:00 - 10:00 blogdown: websites and blogs creation Samuel Orso
10 29 Nov 10:15 - 12:00 Extra topic Aleksandr Shemendyuk
11 6 Dec Project coaching Samuel Orso
12 13 Dec Project coaching
13 20 Dec Project presentations Samuel Orso