This course is nice kick start for the upcoming courses but the course could have been even more interactive . over all nice experience .

This course helps many of us to get started with R and R studio. It also explains about some famous terms in data science and statistics. T

Everything was perfect except the Git and Github part. It was confusing. I ended up not using what it has teached me to pass the final exam

Quiz in final submission related to usage of toolbox Rstudio, like loading new packages will add more value and will help the learners also

Good introduction on Data science specializationi. I highly recommend to all people that would like to know more about this fantastic world

I knew most of the material in this course already, but I thought it was a good introduction to some of the tools that data scientists use.

For someone who has never used Github, I feel the instructional materials are a little bit confusing. Video demonstration would be better.

The automated voice of the lectures is dehumanized. It is less productive and focusing learning from a machine, but the material was good.

I wish the instructors can be more clear with the Git and Github part. I still don't fully understand how to use Github for various tasks.

The course is very nice and provides all that you need to get started on Data Science. Looking forward to the next set of courses. Thanks!

It was a good start and overview. The robot voice didn't always read correctly. RStudio has changeds since slides were made. Mostly good.

Material is awesome! Clear and simple, with great examples!

Questions at the end of the modules are confusing sometimes, could be improve!

Good crash course on setting up all the toolbox necessary for a data scientist. The quiz could be more difficult than it is designed now.

In the course they use some tools' older versions and, for example, some Git commands shown on video are different in newer Git versions.

Informative and helps people like me who are willing to learn from scartch. The course content though can do with a little more updation.

This course is very good for introduction to Data Science toolbox . But there are some typing mistakes in the subtitles in some videos .

Простейший базовый курс, не требующий никакой предварительной подготовки и минимум усилий. Указано 4 недели, по сути проходится за день.

This was a very professionally done course. It is *very* introductory, which is either good or bad, depending on how you feel about it.

it introduces the basic tools that are frequently used in data science. However, it is rather baisc and the course did not go in depth.

I didn't like the computerized voice. The computer spoke a bit too fast and mispronounced some words. Certain sections went too fast.

Overall the course is very good. However, I feel that a little more on statistics foundation would have added more value to the course.

The content is very useful for beginners. Moreover, the material is very good, nevertheless the links target in PDFs cannot be reached.

While this course is introductory to a specialization, I believe there is more curriculum that should have been covered in this course.

Helpful set-up course. Not too meaty & definitely didn't take 4 weeks but smart to have everything set up before diggin into the rest.

Good beginner's course to start learning advance topics like R programming, etc. Very useful tools such as Git-hub were taught simply.