I was very skeptical of this program when I started. I am so happy I did this. I have learned a new skillset. I learned a lot more then I thought I would and I hope to move on and be one of the sucesful people who completed this course.

It was a bit rough with the last part. The sublamental reading was a bit confusing, but I think this is a great program to get your feet wet in the feild of data anylatics.

W​hile the majority of the course covered a lot of information I did come away with feeling as though not all topics were covered with as much depth as possible. Virtual learning can be difficult to craft but depth of topic needs to be insured when this approach is the only option. Perhaps more proof of work is a solution that should be added to this course. I did feel it was lacking in that regard.

It was a good introductory course. I think, to truly benefit, one needs to have some level of education in statistics. Its easy to create scatterplots and trendlines with ggplot, but how can knowing that without knowing what linear regression is or what loess smoothing is, really helpful. This isn't a stats course, but I think more reading material should have been provided.

This course, similar to the other courses I have done as part of the Data Analytics Certificate series provides an overview of R programming, data analytics process and visualization. I come away with insights I did not have before around all of the above, and especially using R programming. It is a lot to take in, which I hope to consolidate as time and opportunity allow.

As programming can be complex, I wished we had more hands-on activities focused on importing and filtering data. These two were covered the least yet without them, it is hard to proceed to the next step. Mistakes can be easily made, barring you from proceeding to the next step. More opportunities to practice would be greatly appreciated to help us commit steps to memory.

Unfortunatelly I can't give five stars because the course it is not updated. In the community messages there are a lot of " yes we have to updated" but months passed and still not updated. This is not serious, we are making an effort (personal and economic) to deal with it. It's a pity. The rest very good and the trainer very good too.

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.

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.

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 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 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.

C​ourse 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.

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 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.

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!

A very well structured intro to R programming language

It is what it says, nothing more nothing less.

Really good start to understand the basics of the language and how it functions as a whole.

it would be better if some more packages like tidyquant , plotly , pacman, etc are explained...

also creating custom funtions was not explained...

loops (for,while,etc) didn't explained.

This is the hardest part of the whole certification if you don't have any R experience. However, it's a good course to let you know R and master the basic skills of the R language.

Very well integrated with the R programming environment. I especially liked the lessons that took place in R Markdown Notebooks. This stood out from the rest of the curriculum.

This course is really helpful to improve my skills on R Programming, and those skills will be really helpful to improve my analytics skills in my research projects.

It is very basic R. At the same time, if you have no idea about R - it won't help you much. You may take this course just to get understanding why R exists.

Its a great introductory course. Compared to other introductory courses, Its the best. Highly motivational throughout the course. Thanks to the Instructor!!

The presenter was very good and she really took it in baby steps especially for some of us new to programming, there is just too much to cover. i enjoyed.

This was a very good class. The instructor was great. However, i think adding R programming earlier with in the course would be beneficial.