Not meant for a complete beginner. I've spoken to a dozen people who have taken this course, and if you don't have some programming skills, you'll struggle. I'm not suggesting its not doable for the complete beginner, but the time commitment may be prohibitive.

The exams and projects are really really hard and make R newbies, such as I, feel very suffering. And these contents are not connect to the teaching materials closely. I think there is large space to improve this course to make it more accessible and learnable.

The things that were taught in lectures were nowhere close to the programming assignments given. Either update the lecture to match the assignments or update the assignments to match the lectures to make the course friendlier and easier to learn for 1st timers.

informative but definitely for people who are far more advanced in background knowledge with R. The professor goes very quickly and the course jumps to new topics without much explanation or guidance. No good way to get help or ask questions if you get stuck.

The programming assignments are way above the information given in the lecture. Extremely difficult to do for people have no previous experience with programming. Swirl is probably the most helpful element in this entire course regarding learning R.

I didn't like it. Inspite of having done some courses on coursera(like Machine Learning from Stanford, SAS Programming from SAS) and edx (Python, R), many things went above my head. So I have decided not to pursue this Data Science Course further.

The course assignments were very hard for me as a beginner in using R and without a background in coding. The swirl exercises are good but they don't really help with the assignments. I had to rely on a data scientist friend to learn what to do.

The course content was good. However, assignments were complex and not very much linked to the rest of the content. Alhough it wasn't said in the beggining, I believe previous knouledge on programming or on R itself is needed for this course

The lectures did not prepare for quizzes/assignments. Not a class for beginners.

It would be better if he used R while lecturing instead of just talking through the whole lecture.

I got more out of the swirl tutorials than I did the lectures.

Firstly the videos and the swirl practice were very good and I leart a lot from them. However, the assignments were very difficult. There is a huge gab beetwen the content of the course and the assigments. This course is not for beginners.

Better than the Data Scientist's toolbox, but not a great introduction to R. When I'm learning a new language, I don't want to know about data types and for loops. A detailed example showing the strengths of this language would be better.

I like the "Practical R Exercises in swirl". Very easy to understand. The "Discussion Forums" is very helpful.

However, the lectures are really boring. The assginments are not even related to the lectures. Not a beginner friendly course.

The quiz were far advance than the material and somewhat disjoint from the topics.The overall lecture is good but not sufficient for learning R, Week 3 and some parts of week 1 could have been explained far more better than it was done

Far too quickly moves from basics of R to advanced statistical programming. Needs better build up of skills. Swirl was useful, as the videos were essentially unhelpful. Many other better resources on introducing the content elsewhere.

The videos are not very engaging and the exercises demand skills way beyond the ones you can develop by simply following the course videos and swirl exercises. 2 stars because the challenges were engaging and based on real world data

Assignment is way too hard without any guidance - course as mentioned in their earlier lectures are meant to go online and ask. Even so, there is no way for beginners like us to understand what our questions should pinpoint to.

Too short, too simple, too theoretic.

I found of little interest the slides, partially interesting the swirl exercise, interesting the programming assignment.

I would like to have a longer course with more practical examples.

the course is absolutely not for beginner who has little knowledge of R even they are interested in data science specialization... this should be made clear to avoid waste of time, efforts and budget.. not worth subscription

Very disjointed and no clear progression. While it teaches the basic syntactic rules well enough, the functionality of R is explored in an ad hoc manner where the assignments have little to no relation to the week's lecture.

The assignments are way too difficult in comparison to what has been taught, the instructor already assumes we are from a CS background.

1 extra star just for swirl exercises, they were highly interactive and informative

it was a really difficult and un-informative experience, I didn't get any useful info through the lectures or reading notes. and the assignment were super hard to get through. my worst choice for a data science course.

It is just not a good course for a beginner, especially the assignment 2 is hard to understand. And hope this course can add a little bit material on statistical programming or machine learning session in the future.

There is not much of a relation between what the course gives (explains with the videos and with the SWIRL exercises) and the real exercices they ask to. Too difficult to follow by people new in the programming area.

The assignments were extremely difficult and there was not much of help directly from the videos or lecture material to learn and do smaller programming assignments that could be used when doing bigger assignments.

A huge lag between what is being taught, the swirl lessons, and the programming assignments. I'd definitely not recommend this course, unless and until you're already well versed with most of the functions in R.