Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University

Useful couple of modules for helping you get set up with R and Git/GitHub. Really doesn't require a full month to do.

The quizzes were pointless.

The explanation of the course is up to the mark. This course is overall good besides you need to follow other courses of the specialization too.

It was helpful for the beginners who is willing to learn data science and gained a knowledge about Github and other aspects. Thanks for Coursera

Good course that clearly explains basic R & data science concepts. Workload was very light - didn't get to practice or learn as much as I hoped.

This course is great to start with. It provides overview of what is in the course and how should we as students be prepared to learn the course.

Excellent course. I found it particularly hard in the first two weeks. Practical exercises were intense. Discussion forms really helped out.

Very good in setting up for the next courses. I would like to see more on Git though because I could have definitely understood it a bit better

With my background I found this part of the course rather slow, but I can see why it's necessary for people with less of a software background.

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.

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.

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