Excellent instruction, step by step coverage of topic in easy to understand terms. Support study material is very good and useful for quick reference.

Wonderful tools were taught. Good course. The presentation of the tools was appropriate to get started quickly with these tools. Thank you Instructors.

It provides you with the tools you need to set and understand R Studio and Github. It also gives you nice advise about starting to manage these tools.

Excellent, for professionals like me, this basics concepts help us a lot to be involve in the process to understand and manage the Data Science world.

A step-by-step guide which helps beginners understand the course content. It has helped me develop an interest in completing all the relevant courses.

Its good platform to learn new skills.Everything is understandable.we can learn so much through this .its a good platform for begineers also.Thank you

It is great at offering multiple ways of delivering the necessary information to be successful in the course. It allows you to go at a managable pace.

Nice kick off for this program where you get all the tools needed to work along the program. Install and configure the tools is really well explained.

Brilliant lecture! After this I have got a general idea about what I need to learn to become a data analyst. And the lecture's quality is pretty high.

An excellent introduction to Data Science. A must to all newbies - the course is engaging and full of real examples. The readings are a must, as well!

Really good, with basis for the next steps in statistics. For me the most interesting thing is the Github software and it functions and possibilities.

A good intro course - however, it's up to one's own initiative to work independently in order to test out what you've learned from the video lectures.

Brief overview of the basic requirements to start with Data Science on this course. Much recommended if you want to grow your career in Data Science.

A great introductory course to start the Data Science journey with R Programming language and GitHub as well. Thank You to all the mentors and peers.

Very helpful for a starter! Not only set me up for further learning, also gave me an overview of the whole data science work and how to carry it out.

I love how the the notes compliments the video. The notes is well linked to extra notes which really help to enhance my understanding on the lecture.

Super beginner friendly. Everyone taking up this specialization and no background of software development or programming should follow this strictly.

I have read the books, they are free and very informative.

Just 40mins in Coursera are equal to more than 5 hours (2 classes) in "brick-mortar" class.

A great introductory course that requires no prior knowledge is fully in video format and lets you get an overview of what data science is all about.

The course is very usefull, making clear the principles of data science, and your basic tools. Instructors are also very clear in their explanations.

I give 5 stars to the course because it offers different perspective to my current job and I'm looking forward to learn more to the upcoming modules.

I have never learned programming and totally new to this field. However, this course really served its purpose of teaching me the data science tools.

Great course as it shows you the basics of what the Data Scientist needs. It is easily understood and you can review lessons after you have taken it.

Very basic, but gets you up and running with R, Git, and Github. I was self-taught, so this course was good to consolidate and refresh on the basics.

An amazing course offered by Johns Hopkins University. I am really happy to be a part of this knowledge. Thank you for making this wonderful course