Instructors get 5 stars. Content gets 4.5. The 4 star rating due to some issues with the answer key/grading and some of the R assignments expected more knowledge than that presented.

Too many words, too little actions and learning. The links to the material are all over the place. The R environment is extremely slow. The bulk of the time you spend on finding variables in the code-books. I am non the wiser and did not really get what this course intended to teach.

A good introduction! I found it useful to do a bit of extra work outside of the course learning R and practicing some of the data cleaning skills that were introduced. A well-taught and interesting introduction for people who want to understand how data can be used to make public policy more effective.

I think that some of the R programming modules were very fast paced, but I enjoyed and learned a lot from this course. I think that when the course is accessed on the mobile platform some of the quiz answers may get shuffled around and be incorrect, but other than that I had no issues with the course.

Great course, I learned about the foundations of public, public policy, and Analytics supported by evidences.

Great course that lays a solid foundation for the rest of the specialisation.

I will be not get a certificate.

Great for beginners in R

thank you coursera

I enjoyed the introduction to R programming and discovering the usefulness of data analysis for the public sector. I want to congratulate the instructors for their enthusiasm and excellent teaching.

It will be a 4-star or 5-star course once they fix the quizzes so that correct answers are accepted rather than rejected and provide better documentation so that students can learn how to code in RStudio without having to rely wholly on the professor's notes (which are hidden in Week 1).