El temario es muy interesante, falta contenido que acompañe: hay varios saltos donde pasas de la introducción del tema a cuestiones complejas del mismo sin explicaciones en el medio.

It's more about explaining statistics than R programmng. Both are intertwined but the course could do with more programming sections and better explanations about how you do things.

Some parts of the course are given too superficially. R is required, but the instruction given is not at the level of the required project even though it is a class for beginners.

Good review of stats but I wish more time would have been spent on R and videos on R. Less videos on stats. This is more of a stats class and less about R.

video lectures were good but the final project at the end was too loosely structured, and depended on you to go learn many features of ggplot on your own

Nice, but missing a lot of features for those who selected Audit Track. Due to missing excercises, the course without quizes is of very limited value.

Final Lab project demands far more knowledge of R tool that was taught during the course, it will be really difficult for me to comply with it.

I expected more programming with R and less theory. Mainly because I already knew the theory and just wanted to learn how to apply this in R.

The course is manageable apart from the final project which is significantly harder compared to the earlier assignments.

Nice course.

But the week 5 project is a little vague. It would be beter if we had a lab assignment instead.

I found using Datacamp for assignment is confusing. Instruction is not very clear

Interesting course but I had a lot of difficulty with the final project.

A good introduction to some basic stats, a mediocre introduction to R

The final project should have an instructional video.

stats instruction is good but the R part is weak

I felt like I didn't have enough skills in R.

The week 5 is very hard to accomplish.

Don’t like the last section

disappointing final test

its perfect for start

Good for a beginner.

The course instructor is EXCELLENT! She does a fabulous job of explaining everything thoroughly and uses good examples to do so. She makes understanding probability and data easy.

I rated the course low because of the instruction in R and required use of R. I wanted to learn R's basic commands but this was almost impossible. The instruction we received in the course with respect to coding in R was entirely insufficient to be able to complete the extremely long final project (the supposed two-hour project took me 13 hours). The coding no longer works (R code changed since the videos were made). Also the final project data set was too large to be used in the workspace provided by Coursera, and crashed my computer every time I tried to use it. Filtering and selecting did not work to limit the data set either, as both those functions caused R to shut itself down. I planned to continue on for more of this series because the instructor is so great, but I cannot deal with R so will not be continuing.

I honestly can't recommend this course. The coverage of statistics was fine, and the labs were sufficiently clear, but the final project suffers exactly the same critical flaw as so many other online courses: after a limited exposure to a tool, the student is expected to use that tool in a context that is so different that the original classes are all but useless. In this case, where RStudio worked flawlessly and effortlessly on clean data, the final project doesn't use clean data.

If your goal is to learn statistics without a particular software package, look elsewhere.

If your goal is to learn R & RStudio, I'd have to suggest a more rigorous, step-by-step approach.

I reviewed many concept which I am grateful for, but several thing need to get better. First, all over the course I was waiting to hear about p-values more, as was promised first time but got nothing more on the videos. Second, many question were asked on exam about the material in the book that were supposed to be optional. Third, final projects includes a huge data file which my laptop suffered loading in RStudio every time. If the it is meant to evaluate the students knowledge, a much smaller data would be enough as well. by the way, I appreciate your endeavor.

Content is not bad. However, peer review system for final project is not great. I had to wait for other students to review mine and wait for other students to submit theirs. How long this is takes is largely dependent on how many students are currently taking the course (which was not enough and so I had to wait). This kind of system for marking should not be done for online courses where you cannot guarantee there are enough users always taking it at the same time. Especially when there are paying users that may have to pay an extra month whilst waiting.