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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.

The instructor speaks clearly, materials are presented clearly, the free version of the RStudio (Posit) works well and is enough to do everything the course requires. However, the course is way too easy/simple to be of any use. There are VERY few exercises. On those few exercises, it tells you what to put in, it's hardly any challenge (there is also a separate file with answers). The quizzes are also very easy. I had no prior knowledge of R going into this course but I know other programming languages and have been working in the data industry for years. I'm sure those experiences helped in making the course feel easy. However, I'm absolutely sure that with the amount of skills gained from this course, there is no way one can perform even the most basic data analysis task.

The class is informative, but the instructor rushes through some of the material without thoroughly explaining how she got from step A to step B and doesn't provide enough instruction on which files and packages need to be loaded before a video demonstration begins. In addition to this, whoever put the class together got lazy toward the end as they just dumped extremely long readings about R Markdown into the course without providing adequate instructional support via video demonstrations. Overall, the class blends in well with the rest of the program, but I would suggest learning the basics of R prior to this course and reinforcing the key concepts though additional sources afterward in order to develop a working knowledge of R.

I wish the course continued with the split screen practice when doing hands on. I also would have enjoyed it more if the course did not flip back and forth between SQL and Excel just do one at a time without the back and forth comparison. For beginners in some of the program I felt that some of the coding was a little too advanced for the little amount of teaching that was given for someone new at this to type out long and compound lines of code, and there not a step by step pace for video instructions. There were times I had to slide the video back a few times to see where they clicked to get this and that to happen. The overall beginning of what data analytics is was good.