I loved this class. The lessons were concise and very well planned, the information clear and easy to grasp and it gave me a very good perspective of what the rest of the specialization is going to entail.

Thank you so much for the great course! Looking forward to taking the rest of the classes in the specialization. I really love the GitHub info, lectures overall, as well as the Textbooks you have provided.

Week 3 was so informative and well constructed. It was a joy doing the course. Git and Github part is excellently explained and the linking between Git hub and R Studio as well. Fantastic course overall.

This course is wonderful. Very detailed.

My main concern with MOOCs is the data consumed by videos but the videos here are so light. I don't have to worry about the size and I played them more than once.

A well structured course. At first you feel like there is nothing interesting but later on, I enjoyed this and boost my confidence. Only minus point was sound in video, it should have been real persons'.

This course will probably be too easy if you already know about data science but it is perfect for neophytes who do not have the tools and the codes of data science yet. I strongly recommend this course!

Good introductory course and easy to follow to have basic understanding on Data Science and R programming language and how to use and interlink between R, RStudio, GitHub and the rest of the tools used.

I've been using SAS and Visual Basic as primary data manipulation tools from my very first job to date. I wanted to learn R/RStudio and this course provided a very good introductory learning experience.

A great start to the world of data science. Love the idea of duplicating videos with text courses. I'm saving all texts to a folder for future use - this is a gold mine! Great job on the course, people!

This a a nice introductory course for approaching data science domain. The instructor and course materials are very good to understand the basic concepts of the tools required for data science projects.

This is an introductory course which will give support in setting up all the basic tools for datascience like github. This course also discuss the basic features of datascience and statistical analysis

This is a very important courase for the basics of all the software, tools and concepts regarding Data Science. I learned a lot with this course and the lecture is quite sufficient for the basic of it.

This course helps people attain the basic knowledge of the tools that are to be used while creating scripts. It also emphasizes the value of community feedback, which helps us learn in a better manner.

I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.

Thank you.

Excelent course, it teaches you the basics of data science and how to set up all the software you will need. It's very basic but if you have no idea about data science it's a great introduction to it

Nice Course. Basics are very well taught in this course.

Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.

it's a really nice introduction to the data science world and to the experimental design. Also it has useful tools like the usage of github and git to share and make projects in a unlimited-like way

Pretty easy, and never felt like it was a struggle to find the information that was needed. Basically a setup course for out things you'll need for the likes of R Programming and Data Science work.

The course is great for beginners, especially with a focus on the fundamentals of data science and RStudio. It provides a great introduction to Git and Github, which makes it extremely informative.

This course is perfect for pure beginners, because it introduces the student to what Data Science really is and what a skills and knowledge a student should possess in order to be a Data Scientist.

Good Data Science Tools foundation course. You get your hands dirty a bit and you get to learn how to solve some issues with resources. Great practical experience on top of the knowledge additions.

Good introductory course. Gives you an insight into the courses and topics which you will come across in the future. Would recommend this for beginners who want to get an insight into data science.

Very helpful setting up tools. I also appreciate the option to skip the videos entirely - reading the text/image version instead encouraged me to play around with the subject matter while reading.

I liked this course and found it fun to learn programming in R, RStudio, and creating Github repo account, version control, etc. I am excited about learning R and looking forward to data analysis.