I have tried to learn a couple of times but due to busy work schedule i always left in the middle of a course or tutorial. However this course due to its interactive nature kept my attention. Finally i completed my first course in Data Science.

Course Structure is good. I could able to gain the basic knowledge & ideas about tools & questions Data Analysts work with, then could also get practical understanding about the sharing & version control tools.Looking Forward for other Courses.

Thank you very much for this course, this course helps me to have a good understanding on how a data scientist works and what are the different tools needed to work and collaborate with a different professional to work with a specific dataset.

Guides students through the basic tools all data scientists need and sets them up to both learn and apply them. A very good introduction that not only covers the theory behind data science but also shows how it can be used in the modern world.

So far, although I am studying computer science, I was too far from the nowadays-popular concepts Big Data, data-analysis (what I am very interested in) and This course covered and gave me the motivation to keep on studying the specialization

I really loved the quality of the content being provided. I appreciate the fact that the courses have been designed for being beginner friendly, but at the same time it ensures that the student gets to know about all the relevant content too.

Great starter for aspiring data scientists! I would recommend this course for conceptual understanding of the field of data science and big data analytics, as it is not good to directly delve into it without such prior knowledge. Great work!

Excellent Course designed to learn insights relating data science using R software. basic Coding and analytics basics are taught in this course. Moreover learning relating how a data scientist can collaborate on GitHub is an added advantage.

Very basic, but I guess that is what is what is meant to be. Not sure I really liked the computerized voice over slide aspect. I get the point of how that is more efficient, but it certainly takes something away from the lecture experience.

This course was a lot of initial set up for the rest of the program. Basically just setting up programs and getting accounts ready for future study. All in all a good start, I expect material and course work will significantly pick up now

its a nice course to introduce you with the tools required ahead in this journey of data science learning. It helps you in taking that first important step for moving confidently ahead in this great learning. Keep up the good work coursera

Content is not so engaging but I think the new format (text-speech) will help improve the course delivery. Topics are discussed thoroughly and if a certain topic will not be discussed in detail, links to additional materials are provided.

Exactly what I wanted from an introduction. I feel prepared to begin the more challenging courses in this specialization.

This course isn't so much a value-add on its own, but is designed to set students up for success in a specialization.

It was an informative foundation to start learning R-programming to Data Analysis. Although it was not easy at all for me to complete this course, I really loved to learn this toolbox including important concepts of statistical analysis.

Though it was a ground basic skills, but yet solid to build upon. This course helped me a lot getting a clear picture of what is data & data science and the necessary tools required to analyize & generate actionable data.

Thanks Coursera

This is really good course and overview about Data science. I had great start for course and Git and basic commands of Linux after several years.

This course will definitely give me exposure to think in best future stream of IT industry

A great introduction to Data Science and the necessary tools required for the remaining course. Fairly simple, but more catered to a warm up for the remaining courses. Would encourage everyone to continue to complete the specialization.

This class was pretty easy and was a good introduction on how to set up R and RStudio. I wish it had taken a little more time with introducing version control (Git) and teaching you how to use it, but overall it was a good intro class!

A very good, organized, and interesting course that teaches you the fundamental introductory elements conserning data science, and helps you learn how to set up essential tools in order to begin learning R programing and using RStudio.

I thought this course gave a great introduction to the topics being covered in the Data Science Specialization. I think the only thing I would of liked to of seen is more case studies and maybe some more supplemental reading materials!

Eases into the world of Data science. I do not know if things are as equally easy as this in the future or is this the calm before the storm. Either ways, I'm very glad I took this step, and would recommend this to any one considering.

This was an amazing course to have compelted. I've learned so much from the course from learning more about R programming , Rstudio, Github, and RStudio. This course has provided me the neccessary skills needed to excel in my career.

Great course, with thorough explanations regarding types of data, data science, the importance of version control and begins to introduce Big Data. It is complete and gives an excellent ground to start developing your first projects.

Content is sufficient for really beginners or who do not have previous experience . I learned about Data Science, Git and GitHub usage. I am planning to continue to next courses of John Hopkins University. Thank you for instructors:)

I like the instruction of connecting programming with Github. This is not taught in my other courses but being extra helpful for people who will work in the programming communities. The automated voice delivers contents efficiently.