Although I still have trouble fixing my GitHub language on the terminal, the course is still informative and helpful. Can't wait to assess more programming language and explore more function that R can process.

I am new to the entire concept of data science and coding. I found this course very useful in giving an overall basic overview to the concept. It is easy to understand and clear. I found it to be of great help.

This Course is very well structured and paced which makes students to analyse and understand things in a smooth and efficient way also this course provides enough intro towards big data and data analysis tools

Basic intro but good material and refreshers. Git lesson is great for those of us that haven't been in that environment for a while or have never been there to start with. Looking forward to the next course!

Awesome course! I would say, I was dreaded github, it never made sense to me but now I know what it is, the course covers super basics and I recommend everyone who is new to data science or even new to coding.

This is a very valuable course for the biology or health research background students or scientists who have great interest in data and analysis can learn and explore newer skills. Very well structured course.

All information given in this course is very basic overview about Data Scientist. It covers basic requirements at macro level and helped me to understand what is Data Scientist. Great course to start with it.

Most helpful for those who don't exactly know what they are doing and need help setting up R, R Studio, GitHub, and Git. Be warned, o actual programming here. However, I definitely appreciate what I learned.!

It's really a great introduction to know the very basic things of Data Science. This course will be useful in setting-up the required tools of R programming on your computer. For the beginners this is a must.

I found this course is very helpful and I am new to Data Science but this course help me to get my fundamentals very well organize and I am looking forward to compete all Data Science Specialization courses.

The contents of the course were excellent, and every bit of instruction was to the point. The idea of providing the text version of the video was apparent. The voice of the narrator could be a little better.

I loved the support of the Coursera, throughout this course and the way of unfolding a course all the way through till the end!

Really loved each and every aspect of the whole cream.

Thanks and love, Coursera!

It was an amazing course. The versioning of code during development is something that Data Scientist new to the trade are unaware of . It was good to have this knowledge of how to do versioning through Git.

Nice balance between giving me the info I needed to complete the course and homework and providing links to materials and suggestions on how to find answers that were not explicitly covered in the videos.

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.

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 first module for the course is a great step in learning the fundamentals of Data Science. The RStudio and GitHub classes are excellent. I now have a starting point to mastering those environments!

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.