I learned very much from this course, and I now have a better understanding of how to use Git and GitHub with R. Before this course, I was unsure what GitHub was really about and how to integrate GitHub into my workflow. Now I feel more confident to make it an integral part of my work in R, and I am relieved to have a much better handle on version control. I have hope that it will be a great tool for collaboration going forward.

I shared R for the Rest of Us with my daughter who is in college and trying to learn R, and she texted me an hour later..."OMG, this is 1000x better and easier to understand than the other videos I saw." Thank you David for making R so easy to understand!

This course is a gem. It rests on a solid perspective as to how to bring R and allied resources in a comprehensive toolbox. It allows one to understand how to use R from building a data frame to creating meaningful graphics and reports. I can’t help but to marvel at Dr. David Keyes’ ability to bring together different r packages and making them accessible to the rest of us.

I've been working with R for several years, but looked at this intro just for the heck of it because I keep hearing about R for the Rest of Us. To my shock, I learned a few new very useful tricks. David is a clear and thoughtful teacher. Don't let the short videos or his calm presence trick you into thinking this is too simplistic. It is easy because David is clear. But he's also gently (subtly) telling you some REALLY important stuff. He's laying down an excellent foundation for your future work with R. Don't skip this. Build your good foundation with David's guidance. I'm so glad I finally decided to give R for the Rest of Us a look; now I need to go look at more of it.

What made me decide to engage with R in 3 Months was the focus on accessibility and inclusivity. It promised to simplify the complexity of R and make it approachable for someone like me who didn't have a strong background in programming or statistics. Before the course, my use of R was quite limited and mostly experimental, and I was not fully comfortable with the language. However, after completing R in 3 Months, my confidence and competence in using R have significantly increased. Now I use R regularly for a variety of tasks, such as data manipulation, data wrangling, data cleaning, statistical analytics, and data visualization. This has allowed me to leverage R more effectively in my professional projects.

I loved your teaching skills. I had some doubt before, now most of the things are clear after watching your videos.

I found this short course engaging, informative and interesting. I believe it has given me a good first clue of how to get started with R.