First two weeks were not really valuable for me, sorry. But the las two actually were.

The videos are not so much related with the assigments but in overall is a good course

Sometimes get a bit boring, though the upcoming courses in the series are real-awesome

A reasonable course. Could use a little more focus on dynamically creating a codebook.

Very useful course. It's worth to add slides and to make sound of lectures bit louder.

Me han gustado mas los dos anteriores de la especialidad pero este tambien està bien

Learn lots of useful skills, but the lectures are just too quick to fully understand

Things were vague when assignment was given but that actually helped me learn better

Very vaguely explained.Not much information in the slides about the topics covered.

Great lecture, easy to follow with R studio. Assignment are moderately challenging.

Course Project was nice.It made me revise the concepts taught in the entire course

Great content. Would have been better with more resources in addition to videos.

It was a nice experience to learn the cleaning part with library dplyr and tidyr

Maybe some more notes about the quizzes and the course project would be helpful.

Excellent, though I found the wording for the final coursework quite confusing.

This course is amazing. But I hope there is some exercises instead of quizzes.

Course is great! Many examples are given on how to get data in various format.

Kind of slow in the beginning but picked up to the end to give me a challenge

The course was quite good, but the last assignment was really much too vague.

good course to start with cleaning data and how to get data from resources.

Good overview of using R (and dplyr) to clean data into "tidy" dataframes.

Helpful, but more than half of the knowledge is in the swirl tutorial.

good course, if there are more text mining content, it will be better

some shortcuts on the viodes makes the replication of work difficult

for me the instruction for peer review exercises was not very clear