In this course, you’ll learn to go from data import to final report, all in R, the most powerful tool for data analysis and visualization. Learn R and you’ll never have to pay for expensive software again. Make an investment in your future today.
Most R courses are designed for hardcore quants. This course is different. It’s designed to help the rest of us learn R, the most powerful tool for working with data. It’s the course that I wish I had when I was struggling to learn R.
The course won’t take you on unnecessary detours that are irrelevant to your work. Each lesson gets straight to the point, covering just the right amount of material. And you’ll finish the course with the skills you need to use R for all of your data work.
Don’t take my word for it. Take the word of participants who have taken the course, including one who said:
What will you learn in this course?
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 skills you need to use R to analyze and visualize your data.
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.
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.
Are there any prerequisites for this course?
You should be familiar with the content in the free Getting Started with R course. If you sign up for this course, you'll automatically be enrolled in both so you can review the material in Getting Started if necessary.
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?
Absolutely! If you are unsatisfied with the course for any reason, contact me and I will give you a full refund, no questions asked.