Great course to get fundamental knowledge on R programming. However, the tutor fails to describe certain areas well, therefore hard to understand. And there is a significant gap between the knowledge we get from the course and the assignments. Assignments should be designed to match the level of teaching.

I think more guidance could have been provided on the Lexical Scoping coding assignment (eg some annotation of the example code to help us understand what it is doing), but otherwise I thought this was a really well organized course and I learned a lot from doing the programming assignments and quizzes.

A little too much for a beginner especially the assignments. had to use functions not thought in the course. need to create a course that is veered for total beginners. Most classes are good but some classes were too difficult to understand and the lecturer would just flyby and it got very complicated .

Someone without the programming background will find it difficult to cope & complete this course within the stipulated time .

Also the Week 2 programming assignment was way too complex to attempt with what has been taught in that week . Probably that assignment should have been kept for the last week

Peer reviewed assignment was tough for someone who has not used Github, but challenging and interesting. I took a week to finish this course besides work. So overall, it was not very time consuming. Since I had sufficient experiences in R, it was rather easy. But I think it is helpful for a beginner.

This was a good class. The lectures were interesting. The swirl package was fun for the most part. And the message boards were actually informative and helpful.The actual programs we were required to write could be used for other things in business or health science, and therefore were practical.

Meaningful course but the videos and homework are sometimes not tightly related, so I felt it a little tough and spent many time working on it and trying to figure it out by myself. The forum is useful when I found some problems. All in all, it's still a valuable course for programming beginners!

En la lección de debug faltó profundizar. Estuve unos minutos intentando detener el proceso hasta que el computador quedó totalmente paralizado. (GT:In the debug lesson it was not necessary to go deeper. I spent a few minutes trying to stop the process until the computer was completely freeze)

The Swirl practice exercises are great, they're optional but I would highly recommend doing those.

The graded assignments are pretty difficult considering only the basic concepts are discussed in the lectures, you definitely need to do some trial and error in R to figure out what you're doing.

This course clears up concepts related to R programming, and makes use of well-designed R practice sessions, quizzes, and programming assignments. You are expected to solve the assignments on your own, and if you are truly a beginner with no previous R experience you may find it challenging.

Needs more structure on R logic, development of R functions were very challenging. I would recommend maybe extending the course one more week to cover in depth the logic of R objects and functions and the lexical scope with practical exercises. Expand swirl() with more challenging commands.

Muy buen curso aprendí bastante, tal vez me gustaría si es posible actualizar el contendio o un poco de informacion extra post curso como referencia como los libros que recomiendan. En general muy buen curso, el examen final si estuvo un poco complicado pero me ayudó a aprender bastante.

Some topics are missing - like 'pipes' , 'tibble' et al. These are more often used in contect of data science usage of R. Some advanced ones like 'Lexical scoping could have been introduced a bit later in the course, or can put fundamental knowledge of R as a pre-requisite to the course.

Video lectures were useful and thorough, but the assignments included some materials and concepts that were not even talked about, which poses a huge problem for beginners. Maybe try splitting up R Programming into two levels, one for beginners and another for more advanced individuals?

its fun and well taught but i was having a little trouble understanding how to go about some of the topics here, this course being my first ever programming class i have ever taken. all in all i enjoyed every bit of it and its something i see myself doing in the future. Two thumbs up!!

The descriptions for progamming assignments 1 & 2 seemed quite lazily written, which was frustrating. Having said that, the related help in the discussion forums was excellent. The lectures were quite interesting although I feel I learnt most from completing the progamming assignments

Instructor teaches the functions of R language already performed on his screen, he should teach by doing practical on screen. That way beginners would find it easy to understand the concepts. Because it is very hard to concentrate on your voice and see the screen matching the audio..

good course, concepts are explained very well by professor, but I would recommend to add a section with more exercises similar to the ones of the weekly assignments. Swirl package is great but according to me there are not enough exercises to get well prepared for the assignments.

Week 2 was hands down the most difficult week of this course. I researched external sources and purchased an additional book in order to develop the programming solution for this course. Otherwise this was an eye opening course on how I could use R Studio in data analysis.

A very good course. Those responsible for the course used very good teaching resources. Good quality support material available. The practical exercises are based on real situations, as well as data sets. Feasible, practical. Thank you very much for offering such knowledge.

Challenging and requires engaged independent learner with at least beginner background in programming (or greater than recommended time investment to compensate for lack of experience). But great format for independent learner who's looking to establish a foundation with R.

too easy, too short, too basic. Even though it is designed for begginers it is still very easy, especially the swirl part. This makes the learning process kind of boring. I wish some of the topics were covered in more detail (e.g. debugging, data manipulation, simulation).

This is a place to get a credential and to know what you need to know to be proficient in R. It is NOT necessarily where you will actually do the LEARNING about what you do in R. I personally complemented this with a datacamp subscription and lots of on-line searching.

This course is very fundamental and interesting. It offers R beginners a chance to understand the basic logic and manipulations of R language and relative tools. The exercises are well-designed. I extremely like the teaching tool "Swirl", it's quite useful and friendly.

While the videos can be incredibly dry, the programming assignments and the swirl assignments help you to gain a solid grasp of how to think like a data scientist. Rather than simply giving you the answer in the videos or the books, it gives you the tools to solve them.