Editing Statistics and Statistical Programming (Fall 2020) (section)

=== Week 1 (9/17) ===
==== September 17: Intro and setup ====

;[[Statistics_and_Statistical_Programming_(Fall_2020)/w01_session_plan|Session plan]]

<blockquote>''Note: Aaron doesn't actually expect you to complete these before class on September 17''</blockquote>

'''Required'''
* Read this syllabus, discuss any questions/concerns with the teaching team.
* Complete [https://apps3.cehd.umn.edu/artist/user/scale_select.html pre-course assessment of statistical concepts] (access code TBA via email). Estimated time to do this is 30-40 minutes. '''Submission deadline: September 18, 11:00pm Chicago time'''
* Confirm course registration and access to [https://www.openintro.org/book/os/ the textbook] (pdf download available for $0 and b&w paperbacks for $20) as well as any software and web-services you'll need for course (Zoom, Discord, Canvas, this wiki, R, RStudio). Discord invites will be sent via email.
* Complete [https://wiki.communitydata.science/Statistics_and_Statistical_Programming_(Fall_2020)/pset0 problem set #0] 

'''Recommended'''
* Work through one (or more) introduction(s) to R and Rstudio so that you can complete problem set 0. Here are several suggestions:
** '''From Aaron:''' The [https://communitydata.science/~ads/teaching/2020/stats/r_tutorials/w01-R_tutorial.html Week 01 R tutorial] (you should also download the [https://communitydata.science/~ads/teaching/2020/stats/r_tutorials/w01-R_tutorial.rmd .rmd version of the tutorial] that you can open and read/edit in RStudio). These are accompanied by the R and Rstudio intro screencasts ([https://communitydata.cc/~ads/teaching/2019/stats/screencasts/w01-s01-intro.webm Part 1] and [https://communitydata.cc/~ads/teaching/2019/stats/screencasts/w01-s02-intro.webm Part 2]) Aaron created for the 2019 version of the course. 
** Modern Dive [https://moderndive.netlify.app/index.html Statistical inference via data science] Chapter 1: [https://moderndive.netlify.app/1-getting-started.html Getting started with R].
** [https://rladiessydney.org/courses/ryouwithme/ RYouWithMe] course [https://rladiessydney.org/courses/ryouwithme/01-basicbasics-0/ "Basic basics" 1 & 2] (and maybe 3 if you're feeling ambitious).
** Verzani §1 (Getting started).
** Healy §2 (Get started).