The R Programming Environment

The Week 02 Swirl assignment was more time consuming than the others and the Week 04 quiz which required hands on problem solving was very good and an excellent review of the materials.

Very good overall.

very good introduction to the R programming language, with holistic introduction to updated R packages written by Hadley Wickham.

Thanks Very Good I like the swirl exercises, but found the text lessons to be very short.

Very good starting course, covers all the basics.My 2 cents: I would prefer more tests like the last one than the swirl lessons, they're more challenging thus you learn more.

Nicely structured and organized Very good material and good exercise!

This course was a very good and powerful intro in data wrangling and tidy data.

Very good introduction to R capabilities.

Very good course.

A very good course to read and get the valuable content of R language.

It is a very good course for new learners.

This package /process is really buggy and causes needless grief especially in Lesson 2.The content of this course is A+++ Brilliant course to get the basics of data wrangling very good course.

Also a great refresher course after taking the Data Science Specialization.

!...really helpful for building data science concept through R Programming.........Really salute for hardworking of instructor..................!!!

I would recommend to take the other R programming course from the Data Science track before.

Nonetheless I definitely learned a few practical things that will up my data science game (which can always use upping).

If you have done the Data Science Specialization prior, this is a lot of review.

Good course, i learned a lot on R. T This is a refresher course for someone who already knows R. For anyone starting to learn R and Data Science, Data Science Specialization is a good curriculum to start with.

I've been doing a few courses in Data Science on Coursera and I have found this method the best at least for me personally.

The free book R for Data Science by Garrett Grolemund andHadley Wickham is a much better structured introduction!

Basic data manipulation is invaluable when using the scale matrices, the tools that this course has provided me with has had a direct impact on how I conduct my own research and I have changed how I now 'tidy' my data prior to analysis It is a good starting point to utilize the advanced R programming techniques It was very dificul, i think yoou need to improve the example you give the the students and be more interactive Good content, a lot of work loaded in the quiz of the last week, beware of this.

However the swirl lesson #12 on Data Manipulation and quiz of week #4 on Reading and Summarizing Data offer a huge difficulty spike in comparison with the rest of the assignments.

By the end of it, you do become proficient in reading data from different formats into R and in performing basic data manipulation routines using cutting edge packages.

简单易学，很适合初学者和基础学习。 This course starts out with the basics of R programming and the use of the tidyverse set of package that are essential for data manipulation.

This course elevate my experiences on advanced data manipulation.

It taught me very useful data manipulation techniques such as piping and other aspects of the tidyverse.

This is for the students who want to learn and practice the basic and some intermediate concepts of data manipulation.

Very practical course with plenty of practices to get you started data handling in R. Course focus on Tidyverse series of packages which come in handy when dealt with data manipulation.

The dataset for the final quiz was outdated, I managed to pass the quiz guessing variable names.

Also, the final Quiz was much more difficult than the readings/practice that came before it.

However, it could be better if there is a R script writing the right code for the final quiz.

The final quiz was extremely challenging, as it should be, and very useful.I give this course six stars and take one away for the automated upload of answers from R (the swirl package).

Also, the final quiz was disproportionally difficult in comparison to what was taught during the weeks leading up to week 4.

Very helpful information provided that I will use on a regular basis.

I think this class is very helpful!

In addition, the possibility of deciding your own work schedule is very helpful when you have to do other stuff from the university.