I think that the explanation of the material should be adopted to people that are not programmers

A very nice introduction to the R programming environment. I learned a lot and it was fun to do!

It is a good introductory course but the description of assignments could be more elaborate.

This was a quick an relevant intro to the getting data and conducting basic manipulations

I found that the course was a helpful introduction to the R programming environment.

Good content, a lot of work loaded in the quiz of the last week, beware of this.

Could have been better. Expected some interaction/videos from the mentors.

Week 4 assignment is broken. Otherwise thank you for the course !

This is what they don't teach you at university. Very good course.

It's a tough course for the beginners in R programming language.

Good lessons but wish there was more lectures by the professors.

Learned a lot through both lecture notes and swirl package.

Useful, but it is all text so the course is not very fun

this course is a introductory level on the R usage!

Really enjoyed the way the course was presented.

Learn basics and some good data science tools.

Great course to start learning tidyverse

Exccellent Course! I really enjoyed it!

just swirl causes tables sometimes

A really good introduction to R.

enjoyed the last assignment

Covers the basics well.

very good start

The contents of the Course are great and you can learn a lot of stuff regarding the R Programming Environment. Unfortunately, there has been errors in the evaluations that have been pointed out in the forum for more than two years now and the Instructors haven´t attended them. They claim that that´s the system of Johns Hopkins University, to make evaluations hard, however, when you refer in a test to the name of a variable that doesn’t exist is not making a test hard, is losing the time of your students and therefore adding unnecessary obstacles to their learning process. Also when comparing the material printed in Coursera and the book that the instructors suggested for the Course, there are basic errors like printing the wrong Graph. If you are really interested in advanced programming in R, take the course, however, BE AWARE THAT THERE ARE FLAWS AND READ THE FORUMS BEFORE ANSWERING THE EVALUATION, IF NOT YOU ARE GOING TO WASTE A LOT OF TIME IN USELESS ISSUES!!!!!!

The learning curve of this course is steep! I am a total novice to R and it took me many hours to finish the quiz. Learning individual packages and functions is one thing, comprehending them and being able to integrate them into a script is another thing. It will be better to have some practice quizzes similar to the actual quiz we took at the end of week 4 so we can get more hands-on practice to master what we've learned. Also, the quiz questions are not very straightforward as some of the terms/wordings are confusing, i.e. Samples.Values, monitoring sites, dates. These terms are not very explicit as to what variable they are referring to in the dataset.