I would love to see a part 2.
I took a class on statistics my Junior year of college and did a little bit of R programming, and was looking for a refresher course. This particular set of lessons was a really good re-introduction to the language for me.
Guys, I really enjoyed doing the tasks you provide. It really helped me to deal easily with the most hard first steps in learning new language. Your product is cool and I think people all over the world need it. I would suggest you only one thing: give us a bit more difficult tasks after several blocks in the course. I mean there is no need in explaining the trivial stuff with large paragraphs, 1-1.5 sentences would be enough) Instead, you may provide us with more materials and tasks to solve. Thank you very much! with respect from Russia.
I have never heard of the R statistical language but found its tools quite useful for data extrapolation and plotting. I found the <- way of setting variable to be a bit odd and not sure why a language would try to reinvent the wheel with this, but alas it is not my main programming language so perhaps I do not understand the full usefulness of said functionality. Otherwise, the course is designed and presented amazingly. Keep up the good work guys/gals!
Learning is like a adventure, thanks & longing for new courses!
Perfect tutorial, it's addictive. The only thing which is missing is a follow up. Like using Data frames with MySQL, More spatial features and integration with other projects.
Fantastic. Well-paced, and I love your GUI. I started off using platforms like Codecademy, but far prefer your guys' interface. Just wish that you had Python courses!
Nice quick intro to R. Easy to understand and follow. Seemed cover all the basics to get you started. I would recommend to others who would like a quick intro to see what R is like.
I found the whole thing incredibly absorbing and exciting. Fantastic introduction to a really powerful language. Well done Code School.
To whom it may concern. I signed up for an online course: Data analysis in R and had no previous experience in programming or the R programming language. Your tutorial was well balanced in topic variety and depth. It helped me not drop my class early on and gave me the confidence to keep going. I also know now how to look for and find help when needed. I was skeptical that I didn't have enough time to take your short course while i was also occupied with the online course but I was wrong. I'm glad I signed up for you short course. Thanks again Marc
The basic course interface and technique were innovative. It gave me the opportunity to apply what I'd learnt immediately without the use of any other software or workbook. The course could've been more in-depth but I was satisfied with what I got.
I thought Try R was a great course and I hope it is available to access from time to time when I have questions on using R. Thank you all for this free course!!!
The key words I could think of are these: #self-contained, #interactive, #self-paced and #beautifully-designed course! Well done! Zock
I really enjoyed the tutorial. Congrats to the makers!
I loved the structure, but I think you could go a lot further and teach more stuff.
Despite the fact that i had some experience with R I have discovered a lot of new things. I used to work in command line but now I enjoy creating *.R files. Thank you for such an excellent opportunity!
Loved the course from start to finish... please add more levels...
I loved the R course. If I had one piece of feedback, it would be to add the ability to explore the code more. Often I was finding I didnt understand what code I was typing in. It would have helped me if I could have just ran that function a couple times with my own data to see what it does. I find that more helpful that reading some text describing what the function does.
The course offered a decent, but basic, into to R's data structures and data manipulation. There's a lot more to even R's basics that we could have covered. But for free, this was a nice intro.