Class Meeting Schedule

Here are the topics for each class meeting. You can find the notes in the guidebook.

Be sure to Bring a laptop to every class!

There will always be two TA’s in class to help students with the live coding exercises.

STAT 545A

Meeting No. Date Topic Helper1 Helper2
1 sep-03 tues Intro to course and software Yulia Victor
2 sep-05 thurs Getting familiar with R Alejandra Hossam
3 sep-10 tues Markdown and GitHub Hossam Yulia
4 sep-12 thurs The git workflow Alejandra Victor
5 sep-17 tues ggplot2 part 1 Victor Hossam
6 sep-19 thurs dplyr: tibbles. piping and filtering. lubridate and tsibbles Alejandra Yulia
7 sep-24 tues dplyr: group_by summarize; index_by; nested data frames Yulia Victor
8 sep-26 thurs ggplot2 part 2 Alejandra Hossam
9 oct-01 tues tidyr, tidy data, and pivoting Hossam Yulia
10 oct-03 thurs two tables: join and lookup Alejandra Victor
11 oct-08 tues file I/O Victor Hossam
12 oct-10 thurs The joy of Factors Alejandra Yulia
13 oct-15 tues Revisit ggplot; plotly; practicalities of daily figure-making Yulia Victor
14 oct-17 thurs The model-fitting paradigm in R; broom; deep thoughts about data analytic work Alejandra Hossam

STAT 547M

Subject to change!

Meeting No. Date Topic
01 feb-25 tues Writing your own R functions
02 feb-27 thurs Regular expressions and character data
03 mar-03 tues purrr, list-columns, nested data frames: Part I
04 mar-05 thurs purrr, list-columns, nested data frames: Part II
05 mar-10 tues Build your first R package: Part I
06 mar-12 thurs Build your first R package: Part II
07 mar-17 tues shiny apps, and related tools: Part I
08 mar-19 thurs shiny apps, and related tools: Part II
09 mar-24 tues Automate tasks and pipelines: Part I
10 mar-26 thurs Automate tasks and pipelines: Part II
11 mar-31 tues Get data from the web: Part I
12 apr-02 thurs Get data from the web: Part II