Please note that you need to complete the Getting Started with R course prior to starting this course. If you sign up for this course, you’ll automatically be enrolled in both.
This course will give you the skills to run analyses and produce beautiful reports, all without ever leaving R.
With over 30 lessons, 3.5 hours worth of videos, as well as exercises (and solutions in case you get stuck), Fundamentals of R will give you the fundamental skills you need to continue along your R journey. It covers three topics:
RMarkdown allows you to combine all of your work with data alongside your narrative text. No more going back and forth between multiple pieces of software to produce a report — do it all in RMarkdown.
2. 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.
Most R courses are designed for data scientists. As a result, they tend to expect a high level of statistical expertise, which isn’t necessary to do the work that many of us do. Courses for data scientists also start with topics (e.g how R works with various data structures) that you don’t need to master at the outset. By flipping the structure of typical courses, I give you the practical tools to get started right away using R.
There are a lot of free R tutorials on the internet. Why would I pay for a course?
You’re right, there are a ton of free tutorials. I’ve got many of them linked on the resources page. 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. Taking this course, you benefit from the mistakes I’ve made by taking the shortest route on your R journey.
Do you offer sample lessons so I can see what the course is like before I sign up?
There are no sample lessons for this course. However, you should take the free Getting Started with R course to see what my teaching is like. If you like it, come on back and sign up.
Do I need to be an expert statistician to do this course?
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.”
Can I get a refund if I’m not satisfied?
I would never want you to be unhappy! If you are unsatisfied with your purchase, contact me in the first 30 days and I will give you a full refund.
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).
Most [online] courses have a price that’s more than fair, but usually the pricing is tailored for people based in developed countries such as the US, Canada, Western & Northern Europe and a few other countries scattered across the globe.
As such, if you are interested in taking this course, but come from a country with low purchasing power, please reach out and I’ll be happy to provide you a discount to make it possible for you to learn R.