This course is a group version of the self-paced Fundamentals of R course. It will cover the same topics, but will do so in four one-hour live streamed sessions on June 5th, 12th, 19th, and 26th. All sessions will take place from 10:00am – 11:00am Pacific daylight time.
This group course offers two add-ons that are not part of the self-paced course:
- In between live sessions, students will complete assignments, working on a project of their choosing, each week that I will provide feedback on.
- In addition, students will be invited to join a private Slack group to ask questions and get feedback during the term of the course.
The course will be taught using RStudio Cloud, which enables students to use RStudio in their browser. Information on setup will be provided to those who register.
Note: You will need to complete the Getting Started with R course prior to the start of this course so plan appropriately (that course should take you around 2 hours).
This course will give you the skills to run analyses and produce beautiful reports, all without ever leaving R. It covers three main topics:
RMarkdown allows you to combine all of your work with data alongside your narrative text. No more going back and forth between multiple apps to produce a report — do it all in RMarkdown.
Data Wrangling and Analysis
Using a tidyverse-centric approach, learn to wrangle your data into the format you need. Then see the power of R as you quickly produce a range of analyses on your data.
About the Instructor
Hi, I’m David.
Think you know what an R user looks like? I’m probably not what you have in mind.
I started R for the Rest of Us to be that guide. Yes, you can learn R on your own. But working with me will help you go from novice to expert much, much faster than you could on your own.
I’m not a hardcore quant (my PhD is in anthropology). I’m not a coder ready to jump on you for any small mistake.
I want to help others avoid the pain that I went through learning R.
A teacher at heart (shoutout to my former second grade students), I make R less scary and more fun (yes, fun).
Want to see how I use R? Take a look at some of the data visualizations I’ve created for organizations looking to increase their social impact.