Ryan is a more experienced programmer/coder than I am. As a time-poor beginner, I found the MITx course on R much, much easier to use (and far more interesting) than the John Hopkins courses on Coursera. They also have two decent courses on Python, the second of which is more relevant to statistical applications.
I would believe that there are much better R courses than the Johns Hopkins one for an introduction. I’m not particularly experienced at coding, but I was basically only watching those videos for the stats, rather than paying much attention to the code at all. I agree that the mitx Python courses look decently good and wuantitative (though not mostly statistical) for an absolute beginner. The other thing is to try Kaggle introductory challenges in Python for a practical taste!
Ryan is a more experienced programmer/coder than I am. As a time-poor beginner, I found the MITx course on R much, much easier to use (and far more interesting) than the John Hopkins courses on Coursera. They also have two decent courses on Python, the second of which is more relevant to statistical applications.
MITx course on R—https://www.edx.org/course/analytics-edge-mitx-15-071x-0 MITx course(s) on Python—https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-0 https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-0
I would believe that there are much better R courses than the Johns Hopkins one for an introduction. I’m not particularly experienced at coding, but I was basically only watching those videos for the stats, rather than paying much attention to the code at all. I agree that the mitx Python courses look decently good and wuantitative (though not mostly statistical) for an absolute beginner. The other thing is to try Kaggle introductory challenges in Python for a practical taste!