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The content is good, but I have some comments that would make it a lot better. On the one hand, R is a programming tool so this is by no means an exhaustive program, but rather a light introduction. However, when following along, some elipsis were made and I had to keep checking with resources to understand all that was done during the exercises and lessons since there was a lot more than just what was being explained. Providing further context on why some stuff was being added to the lines of code appearing would be useful. Also, in the spirit of lightness in this lessons, a more guided programming approach would probably be better. I'd probably prefer to have more guided exercises in R on understanding what you can do (working with different datasets as well) rather than having to fill out the 'reflections', which you could clearly see they have all been looked up in chatgpt. I have a better sense now of R, but would have preferred to have probably had a more hands-on approach in this case, using google collab or Python instead to align better with what's been most widely used nowadays too.

I wish the course was longer and there were some more lessons in the hands on programming. I'm stuck now doing my capstone having learner VERY LITTLE about programming with R, for instance, cleaning data is not merely pulling up the names of all the columns in a dataframe. That's just seeing what you're working with, but in the Coursera course that was considered cleaning. I can't do any merging of dataframes, which would have been WILDLY useful. And I realize you can't cover everything, but I feel like Google and Coursera, together, didn't cover enough. This could have been such a fun course, and I was hoping it would have been slightly closer to a boot camp, but it wasn't. Not enough covered. I loved all the other courses (granted I wish ya'll covered more in SQL, BigQuery, and Sheets too) but this one seemed a big like the tip of the iceburg and cutting corners.