Syllabus
Overview:
- STAT 545 = 7 weeks
- STAT 547 = 6 weeks
- First 7 + 2 = 9 weeks is general data wrangling, exploration, analysis
- Last 4 weeks = 4 one-week self-contained intermediate topics:
- Build your first R package
- Build a Shiny app
- Get data from the web (scraping and APIs)
- Automate tasks and pipelines
Disclaimer: info given in good faith, but subject to change!
STAT 545A
| date | notes |
|---|---|
| sep-06 tues | cm001: Intro to course; S/W install; acct sign-ups |
| sep-08 thurs | cm002: Deep Thoughts about data analytic work; intro to R and RStudio |
| sep-13 tues | cm003: Git(Hub) test drive, run/render an R script |
| sep-15 thurs | cm004: R Markdown test drive |
| sep-20 tues | cm005: Care and feeding of data frames or “tibbles” |
| sep-22 thurs | cm006: First look at dplyr, %>%, and ggplot2 |
| sep-27 tues | cm007: ggplot2 |
| sep-29 thurs | cm008: dplyr: mutate, group, summarize |
| oct-04 tues | cm009: Tidy data, reshaping |
| oct-06 thurs | cm010: dplyr joins, minimum “need to know” re: R as a programming language |
| oct-11 tues | cm011: R as a programming language, getting data out of R (and back in) |
| oct-13 thurs | cm012: Be the boss of your factors, getting data out of R (and back in) |
| oct-18 tues | cm013: Revisit ggplot, practicalities of daily figure-making |
| oct-20 thurs | cm014: Visualization Analysis and Design: Tamara Munzer guest lecture |
- Homework 01 Edit
README.md, use R Markdown to explore Gapminder - Homework 02 Explore Gapminder as a tibble and starting using dplyr and ggplot2
- Homework 03 Manipulate, summarize, visualize Gapminder with dplyr and ggplot2
- Homework 04 Tidy data and joins
- Homework 05 Prove you are in control of factors and figures. Clean up your repo.
STAT 547M
| date | notes |
|---|---|
| oct-25 tues | cm101: Regular expressions and character data |
| oct-27 thurs | cm102: Writing your own R functions |
| nov-01 tues | cm103: purrr, list-columns, nested data frames 1 |
| nov-03 thurs | cm104: purrr, list-columns, nested data frames 2 |
| nov-08 tues | cm105: Automate tasks and pipelines (Shaun Jackman) |
| nov-10 thurs | cm106: ditto |
| nov-15 tues | cm107: Build your first Shiny app (Dean Attali) |
| nov-17 thurs | cm108: ditto |
| nov-22 tues | cm109: Build your first R package |
| nov-24 thurs | cm110: ditto |
| nov-29 tues | cm111: Get data from the web (scraping and APIs) |
| dec-01 thurs | cm112: ditto |
- Homework 06 Choose your adventure! Topics include regular expressions, data ingest/exploration, working with lists, working with nested data frames.
- Homework 07 Automate a data analysis pipeline.
- Homework 08 Build a Shiny app.
- Homework 09 Write an R package.
- Homework 10 Get data from the web