This course is very comprehensive and if you watch the video and try and follow all the links to webpages, publications, etc. and then try to connect the dots you really have a great start in data science. Not to be missed. Thanks.

Great intro course, really enjoy the self paced schedule. As a busy professional, it is often hard to find time to commit to scheduled courses. I am very grateful for Coursera, and all of the universities, who make this possible!

Great tutorial to configure RStudio and Git/Github. Spent a day on this since I am not particularly interested in data science as a career, moreso just interested in learning R for fun and to expand my skillset before uni starts.

I found this course very helpful. I am a grad student and taking this course helped build experience with technology including: github, R, and Rstudio. I plan on taking more courses within the series to further develop my skills.

I came to start learning about R, and walked away with an understand of why I also need to learn R, Rstudio, Git, and Github. I'm grateful that this course taught me how to set all of that up, in preparation for the next course!

The way of approaching and explaining the concept was really helpful for me.

Nice way of approaching the concepts and problem-solving skills.

The best part is that it shows a perfect example and explanation of ML and Data Science.

This is a concise and well-structured course for beginners of data science. I would recommend this new way of teaching (robotic voice hahaha) for other online lectures, as this is a new way to review and update course materials.

A good overview. Set the expectations for what will happen in the rest of the Data Science classes. Gave a lot of good, basic information for people that are not familiar with git, GitHub, Rstudio, and basic Linux/Unix commands.

Is a very nice course. Is very basic but exposes you to the tools most used in the trade. If you have any IT background you will not probably benefit that much, except in learning what kind of tools are relevant to data science.

This Course gives you the basic level of understanding of what is data science and its impacts on the market. You can know about Version Control and Tools like R - Studio. Overall as a beginner, i learnt a lot from this course.

If you have a background in IT you should get through this pretty fast, but it's still a well structured course with useful support in getting the basic tools set-up before the rest of the course. Clear, concise & to the point.

Amei o curso, aprendi muito e tenho certeza de que este curso é apenas o começo para que possa alcançar meus objetivos.

Didático, ilustrativo, possui muitas informações e exercícios para que possamos aplicar nosso aprendizado.

I enjoyed every lesson, I have done a couple of data science intros but believe I highly recommend getting your hands dirty with tools before you dive deep.

You learn how to cross the bridge before you get there on this course.

What an amazing course!!!!!!!!!

At first I skipped this and started R Programming. But then I thought let me just check it once and I am really grateful that I started this. I am looking forward to complete whole specialization

It's a good introduction course! As part of a specialization, it fulfills its role. For those who don't have experience with programming and data science, it's a great place to start and so go through the rest of the courses.

As a beginner in Data Science, this course introduced me to various tools used and cleared various concepts. Lessons were easy to understand and use of AWS Polly made it more fun. I would highly reccomend taking this course.

The illustration is exhaustive , step by step teaching you how to set up R RStudio and GitHub. A really great foundation course for who is interesting in those software and may think of data analyst as a future professional.

Got to know the big picture of what is data scientist and what they are doing; Set up the tools and account of git hub; the instructions of how to collaborate and share codes and views among co-workers are especially useful.

This was a great first and foundational course to the Data Science Specialization. The lectures and course materials were very clear and the being my first course on Coursera, it was a great introduction to Coursera as well.

I learned a lot in this course that I did not learn when I was still studying when I was in college. And I am so thankful that I was given the opportunity to increase my knowledge.

Thank you so much po and Gob bless you all

I usually watch my online videos in 1.5 - 2x speed. But because of the robotic voice used, I found this slightly difficult. However, the content was great and this is a course that I would highly recommend beginners to take

A good intro to data science. Highly recommend. Might be somewhat straightforward for those already using GitHub and other computing resources, but a good intro to the field of data science and the key ideas surrounding it.

This is a really good way to start in Data Science. The course is easy to follow, it has many exercises and practices. And you can also study by your own and get more knowledge and feel more and more confident with data job

A good introduction into Data Science that is both inspiring and motivational. A stepping stone in the world of Data and a powerful foundation for acquiring more knowledge and understanding larger concepts within the field.

This course was very difficult for me at first not so much the github portion but the git part for some reason but I did read more about it and got so I knew and understand it now. Pretty valuable to have this information.