R in 3 Months
Invest in your future by learning the most powerful tool for working with data.
The next cohort starts in September. Enter your email to be notified.
I’ve often been asked: “how long does it take to learn R?” I’ve never had a good answer ... until now.
Here’s my answer: 3 months.
Give me 3 months and I’ll get you to the point where you can use R for all of your data work.
Learning R will save you time and money.
Time because you’ll learn to work more efficiently, automating tedious work through the magic of reproducibility.
Money because you’ll never have to pay exorbitant fees for SPSS, SAS, or Stata again.
With R in 3 Months, you’ll get high-quality instruction that will guide you from R newbie to R expert.
Each week, you'll be asked to apply the concepts you're learning to a real project you're working on.
You'll share your code and get personalized feedback to ensure that you really, finally learn how to apply R to your work.
Alongside a Supportive Community
You'll be on this journey alongside a supportive community that will help you learn and keep you accountable to yourself.
R in 3 Months will use a flipped classroom model. Each week you’ll be assigned to complete a set of lessons. Then, in our weekly live session we’ll go over questions related to the concepts in the lessons you completed that week and discuss ways that you’re applying your learning to your own work.
You'll also have 24/7 access to a private group where you can ask questions, get feedback, and find support.
R in 3 Months is a complete package to make sure you finally learn R
Three courses that all fit together, taking you from R novice to R expert.
Ask questions about the lessons, show how you're applying your learning to your own work, and more.
When topics come up in live sessions, I'll make exclusive videos to demonstrate concepts.
No need to wait until the next live session! Ask questions any time and get answers when you need them.
Through live sessions and the forum, you'll get personalized feedback on how you're applying your learning to your own work.
Don't go it alone! Learn R with others and help each other stay on track.
Weekly Live Sessions
Sessions will be held on Zoom Thursdays from 10:00am to 11:00am Pacific time, with recordings available the next day.
March 18 Introductions and discussion of Getting Started with R
March 25 Fundamentals of RMarkdown
April 1 Fundamentals of Data Wrangling
April 8 Fundamentals of Data Visualization
April 15 Advanced Data Wrangling, Part 1
April 22 Advanced Data Wrangling, Part 2
April 29 Advanced Data Visualization, Part 1
May 6 Advanced Data Visualization, Part 2
May 13 Advanced RMarkdown, Part 1
May 20 Advanced RMarkdown, Part 2
May 27 Topics selected by participants
June 10 Participants share final projects
Frequently asked questions
- How long will I have access to the materials?
- Can't I learn R for free? Why should I pay for this?
You’re right, there are a ton of free tutorials. You can learn R using free resources. I did! But, I will say that, looking back, I know I spent much longer than if I had taken a more structured approach. Going through R in 3 Months, you benefit from the mistakes I’ve made by taking the shortest route on your R journey.
- Can I see examples of your teaching?
- Can I see what the live sessions are going to look like?
Check out previous sessions of R for the Rest of Us office hours. The live sessions for R in 3 Months will be a bit more structured since we're covering particular topics each week, but this will give you a rough sense of what to expect.
- How long should I expect to spent each week to get the most out of R in 3 Months?
You should plan to spend 3-5 hours per week devoted to R in 3 Months. The breakdown of this is: weekly lessons from courses (1-2 hours), application of new concepts to your own work (1-2 hours), live sesion (1 hour).
- Do I need to be an expert statistician to sign up?
Absolutely not! I’m an anthropologist by training. I’ve written about coming to terms with using R “only” for descriptive stats. R has a reputation for being only for hardcore quants, but it’s a tool that can benefit so many more people. That’s what I mean when I talk about “R for the Rest of Us.” That said, you should have familiarity with things such as data types (e.g. character versus numeric) as well basic descriptive statistics knowledge (e.g. calculating means etc).
- I've never programmed before. Is this right for me?
People who have never programmed before are the exactly type of folks I specialize in helping (you are "the rest of us")!
- Do I need to have any experience with R to participate?
Nope! You'll start out with my Getting Started with R course, which assumes you've never used R before.
- Do I need any special technology to participate?
Nope! You'll use RStudio throughout, We'll conduct live sessions via Zoom, and you'll record videos of your own code using the Loom free plan.
- I'm not sure I'll be able to make all of the live sessions. Can I still participate?
Yes! I expect that not everyone will be able to participate in all live sessions, given time zones and/or life. All live sessions will be recorded and posted by the next day so you can catch up whenever you're able to.
- Why are you using a flipped classroom model?
I chose this approach for two reasons.
Practically speaking, allowing folks to complete lessons on their own schedule makes this program accessible to many more people around the world.
Just as importantly, I chose to do a flipped classroom model because I think it is the most effective way to learn. I've taught the material covered in the Fundamentals and Going Deeper courses live. The challenge is that participants want to move at widely varying speeds. While some people want to go fast, others prefer a slower pace. A middle ground, medium pace often pleases few and frustrates many. Using a flipped classroom model enables everyone to work at their optimal speed for learning.
- I've already signed up for Fundamentals of R or Going Deeper with R. Can you give me a discount?
Absolutely! Just send me an email and I'll create a coupon code that gives you a discount equal to the amount you've spent to sign up for these courses.
- Do you plan to offer R in 3 Months again?
I plan to offer it twice a year max, likely once in the spring and once in the fall.
- What is your refund policy?
If you are unsatisfied with R in 3 Months for any reason, contact me before April 15 and I will give you a full refund, no questions asked. If you sign up using the three payments option, you can drop out before the second (in which case you'll keep access to Fundamentals) or third payments (you'll keep access to Fundamentals and Going Deeper) and you won't be charged.