I thought the lectures were a very helpful re-introduction to statistics but felt very disconnected from the assignments in rstudio. I felt lost when I got to the final project. I would recommend incorporating rstudio into the lecture so the students can follow along and practice writing r scripts.

This is an excelent course in statistics but not R; you are barely taught how to set R for data analysis; conversely, the modules focus on developing the capacity to understand basic statistics interpret results and be able to perform probabilistic thinking, but nothing related to data analytics.

I really liked it! Some basic R mechanics were undertaught and I'm very lucky that my data scientist brother volunteered an hour of his time to catch me up. However, I can say that this course genuinely held my interest all the way through with authentic examples and challenging exercises.

It does introduce students to probability very well. But the R learning was very limited to simply following instructions in a file, with little in the way of explaining R or what R commands do. Very limited bridge between the probability and stats part of the course and the R part.

I think the first 4 weeks of the cours were quite easy, and the last week, week 5 was quite hard, and did not really match the first four weeks. It would be good if a little more information was given in the first four weeks about EDA's and other parts of the project.

The course is OK, but in my opinion the price 69€ is higher for the material you learn.

Lower price probably more people take the course paying

Also is a pitty that people we do not want to pay, we could not have a final assignement.

The course is very basic, so it is good for an introduction. Quizzes are simple but the final project takes a lot of time. Why should we have to answer three research questions? Two would be sufficient.

Kind of ridiclous I cannot complete the class without getting my final project graded by another peer when this is a "work at your own pace" class and most discussion posts are at least 3 months old.

Could be improved by providing better tutorials to use R, provide guidelines to use Rstudio desktop as Rstudio Cloud is quite slow and crashes (it crashed 100s of times on loading brfssdata).

well thought out and delivered course, but I would have preferred that it dig in more into the topics. Not necessarily more topics, but deeper treatment of the topics that were covered

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