A thorough course on how to structure and clean dirty data before making analyses on the data - very practical course in R.

I think some assignments may be more clear such as the final project. They give way to several different interpretations.

Some parts of the course felt like... here are some cool things you might want to do... Google them. Otherwise valuable.

A little bit hard to follow, because there were so many things didn't work for me. I had to figure things out by myself.

i found this useful and gained knowledge on important pacakages,if you are a beginer in R do not skip "swirl " practice.

The course is ok, but a little bit too general. It should require more actual coding, maybe worksheets might be useful.

It is amazing to learn how many different kinds of data exists and how to work with them using R. Wonderful course!

Slides and videos are a bit insufficient in order to finish course projects.

Apart from that, this course is awesome!

Definetly it´s a better than the 2nd one (R Programming). Hopefully the next one keeps with this didactical level.

I think there should be more graded assignments. The quizzes help but doing more projects would be really helpful.

Quite a leap from course content to final project but still a rewarding course with lots of hands on coding in R

I think it is a decent introduction to data cleaning. Could be more detailed in terms of the content delivered.

This course was okay, but projects required much more in depth information than the course materials provided.

Very interesting course where we learn the methods to get data from the web, clean data and getting it clean.

This course is brilliant, but I expected more exercises to master more commands in R mentioned in the course.

Great info on accessing data from multiple sources. Also some excellent teaching on relevant R code modules.

This part of the specialization is very important since 70% of a data scientist work is get and clean data.

I tried my best to the best, certain things were little complicated to understand but it was worth learning

The content choice is fantastic - introduced a lot of great tools - albeit somewhat rushed in presentation.

Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats

Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)

Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.

The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.

It was a great course, however I had a bit of confusion when trying to understand the final assignment.

This course is quite challenging but it provides me basic idea of tiny data which is very helpful.