the course is really good, just consider if you like more courses where there is a tutor talking to you maybe you can take a different course.

Computer voice was a little to quick to move on in some portions of the course. Particularly when trying to type code in R Studio or Git Hub.

Nice way to teach but more example related to bio medical please add more example like finance and technology and please check out while study

Liked the course and completed all the quizzes and project. But couldn't submit and earn a certificate because I can't afford to pay the fees.

The course is a real beginner's guide to the world of data science and gives a good introduction to some of the tools used by data scientists.

The course was well laid out and covered the basics of definitions as well as setting up R, RStudio, GitHub and showing how to use RMarkdown.

fast paced and a bit convoluted for an introduction compounded by the computer generated voice. Some of the screenshots are a bit outdated.

I do understand why they used automated videos in order to keep all the material as updated as possible, however it is a strange experience.

It is a good course to get familiar with the basics, however, I would have liked a little more actual content. Week Four I enjoyed the most.

I liked the course as it helped me to understand the basics of R programming including the installation of R studio and linking it to GitHub

Pretty great introductory course on types of data analysis. I can't wait to see how this builds in the future courses of the specialization.

Nice course for Beginners, No complains regarding course material, however there is little bit audio issue in some slides as it is bit low.

Great Course! Overall I would recommend. Had a little bit of trouble b/c I am using a Mac but after a few Google Searches I was on my way!

Great course! I would recommend compressing the audio on the video presentations so it's easier to hear and more consistent in volume level.

A well-rounded course. Nevertheless, the videos must be updated and can create confusion because of newer software interfaces, like GitHub.

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!