Great course to learn some basics about R programming, the information and the lectures and extra links and readings provided were vey useful, you have enough information and you can easily revisit anything you want, in order to improve your knowledge. I would recommend specially if you want to be involved in statistics.

Especially given that many of the earlier units utilized R Markdown files, I feel like the lessons on R Markdown should have been earlier in the course, and not saved until last. Otherwise, I feel like this course did an excellent job of providing a foundation in R Programming, and the resources provided were fantastic.

It great Courser for someone who is a beginner and wants to learn R. The hands-on experience that is provided in this class is very useful and helps a beginner to understand. The person need not be from Coding background to take up this course. The course material is easier to understand and follow.

I think this course is a great starting point for those who want to get into Analytics, it provides you with the skills needed for future job employment. I appreciate the time and effort put into this course, I hope others will see the benefits and skills from this course. Well Done!!!

This course Data Analysis with R Programming was excellent and gave an overall idea for a beginner and the classes and tutorials were awesome. It would be better if some projects are also covered in the course work that focuses on cleaning of null values and manipulation of outliers.

The course was worth it. I love the concept of financial aid . But there are some things that need to be sorted out. There are some topics which seems difficult to me and did not find the videos as useful to clear my doubts. But overall I love the course. the idea and the teacher.

Tough class, and you learn a lot. The way the class was organized required a good amount of study and practice and this worked well. I feel like I can work with R and find what I need to continue to grow my skills. This was a tough course and felt great to complete it!

I THOUGHT THE PRESENTER WAS very clear and reasonably engaging. I found the order a little confusing so I was looking into topics that were briefly covered at the beginning only to find later that they were covered more in depth.

It was pretty detailed. I was satisfied

Frankly, I was annoyed at times that the same things were explained over and ove again, like making simple plots with ggplot2, but in the end I think it is a decent introduction to R. Now I now the basics, can do visualisiations and simple analysis of datasets with R

I think this course covers a lot of ground and the tools that are in high demand in data analytics. However, I feel I only have a surface-level understanding of the tools. I think I'll feel a bit more confident as a candidate after I complete the capstone project.

I think this is a great course. It gives a lot of detail and I think all the lecturers are excellent. I do think the section on R programming needs to be more comprehensive. As I embarked on the case study, I had to do some research to handle the R code for it.

I've been working for 12 years, and did a lot of data analysis job, but due to the industry I had been involved, not much data to analyze. This class on one hand proved what I had done is correct, on the other hand, expand my knowledge on data analytics.

I really loved this course and the tutor. Before i started off i didnt know what writing code looks like. Now i see myself writing codes on R. The course is very resourceful and contains every detail you need to start exploring R all by yourself.

this course is excellent. I'm really missing the natural extension to r language with mastering the shiny web app development.

The level of the r language course is a bit too low.

Could be well extended with an additional module with the statistics

The exercise for getting into R are interesting. I had R phobia, but the step-by-step approach in this course helps me understand the basic codes in R with fun exercises. The 4 stars are given because there are some gaps in explaining the codes.

- This training was an alright refresher for 'R programming'.

- Weekly quizzes for weeks 3 to 5 can be challenging, depending on your background

- The final course quiz/challenge at the end of week 5 was more pleasant to work my way through

Course had a lot of information and good links to outside sources for more readings, but it was difficult due to having issues with the website's embeded R, had to go to RStudio to figure out how to solve many questions.

This was very similar and easy understandable course that have good exercises, quizes and well prepared RMD files, sketches but this course doesn't contain any subjects from statistical data analysis with R programming.

Great course. But one note though, it is so annoying that the presenter wrote a code carelessly without adhering to the style guide of writing a code. It is hard to understand the code if you write it like a punk rebel.

It was quite good for them who wants to learn the R programming language for being a data analyst . The only thing that I want to introduce that a Hindi or other language subtitles it makes it 5 star course for all.

It helps me to have some basic concepts and experience to do analyze in R. But in some weekly challenges quizs which needs to filling the code chunk sometimes can go wrong ，even i put the right code chunks in it.

Great pacing to the course. A wealth of external resources shared which was valuable.

Low audio to one of the videos in module 5. Course did not cover many statistics techniques with R programming.

Quite a useful course, and fairly easy to follow. Having some kind "chat" function to help in certain places would make this course much better. Not sure if that's possible, but that would be ideal.

Content was fine. This instructor had some troubles reading sometimes, and for me she was a bit boring. However, I think it was a very good introduction to R and the functions that might be useful!

I thought that explanations of coding were clear and it seems that the basics were covered well though some more in-depth projects that mimic real-world work scenarios might have been helpful.