Learned SO MUCH! I can't believe how much I actually learned. The course is set up so you are forced to download and practice using RStudio and Githun (both free), and are guided through it. Not too hard, not too easy either. Just challenging enough. Also appreciate that I didn't have to spend 10k on a bootcamp when I wasn't even sure that I liked data analysis. Now I know I do!

Beautifully set series of lectures that gave an in depth view of what Data Scientists are thinking of in this modern era of human excellence. The slide font to be slightly increased and the sound quality too.

My teacher of the course has given his best and their could be no comparison of his efforts.

Thanks to team Coursera for setting up such a beautiful set of learning material.

My name is Jose Antonio. I am looking for a new Data Scientist career ( https://www.linkedin.com/in/joseantonio11)

I did this course to get new knowledge about Data Science and better understand the technology and your practical applications.

The course was excellent and the classes well taught by the teacher.

Congratulations to Coursera team and Instructors.

Regards.

Jose Antonio.

It was a great Toolbox..!

It seemed to be simple but yet it was challenging as it was the first time I was exposed to Data Science, R, R studio and even GitHub.

It effortlessly made me focus on simple tasks.

Which made me more curious about how effective other courses might be.

Looking forward to learning and growing my skills with this wonderful platform.

Thank you, Coursera...!

Not really interesting course, but good for start. You won't learn much beyond setting up github account and downloading R, but it fits well in the overall specialization. The feel is that this course is like the first day of school, you don't do much of work, but you still need to come. I do not recommend taking this course alone, but I do recommend taking the specialization.

The Data Scientist’s Toolbox Training helped me learn the elementary and essentials of data science concepts as well as it is interesting project submission and reviewing others’ submitted projects. It is an incredible learning experience from Coursera’s Data Science Course from Johns Hopkins University industry experts. I would like to rate my Data Science instructors a 5/5.

The Data Scientist's Toolbox the second course that i have taken in the Coursera. I have completed this course in a short time but the course is awesome and providing info from basic and videos are helping a lot. I think to become a data scientist this is the best place to start pleased to complete rest of the course also. Thank you Coursera for providing such awesome course.

Awesome! To know how to deal with technical difficulties and get familiar with R and R Studio before even programming it's a good first step and certifies that i will be a reliable Data Scientist because i will be able to deal with installation issues and compatibility situations without depending on others for thriving in my own work. Highly professional, thanks very much.

The course is a solid starting point for aspiring Data Scientists, offering a strong foundation in setting up R, version control, and understanding the fundamentals of data science. However, it primarily focuses on R, whereas including Python basics would be beneficial for maintaining a comprehensive approach to the essential tools and concepts needed in the coming years.

This is a great course for beginners who're looking to get into data science. However, setup of RStudio, linking with github, etc., especially on an iMac may require a little bit of online research that goes beyond the course (and that's a good thing!). For instance, I had no idea what Terminal even was - had to look it up.

But this is a great introduction to data science.

In this course, you will get great insights about tools that comes handy in your journey towards being a Data Scientist. The curriculum is very well designed to cover all the relevant and helpful tools. Whether you are new in the data science domain or an expert, it's always helpful to brush up your knowledge about frequently used tools to ease off the main analysis work.

The course has been designed in an optimum way so that no strong backround in programming or statistics is required. By the end of the course you will be familiar with the necessary tools (Rstudio, GitHub) for data analysis. Moreover you will have a sound knowledge of the basic concepts in data analysis. It is an excellent way to introduce the student to data analysis.

This course is (as stated) suitable for beginners on the subject. It gives a very good introduction to it, and helps people learn more about what the data science is all about, how it works and which tools are usedby data scientists.

This course helped me to determine if the path I was thinking of taking as a career options is really interesting for me at this point.

Firstly, this course was challanging for me, especially to understand linking github in R. I have known R, however I never use git or github before. I have stucked for little moment to understand about it and missed my deadline. It was because I'd need some times to understand and elaborate it. And now, I can passed the course, and I'am happy. Thank you Coursera.

So far this course is given at a pace that is just perfect. The instructors explain concepts in ways that make the subject matter easy to learn, particularly for someone who loves data, but is terrified of heavy mathematical concepts. I've taken similar courses at local community colleges where class size is much smaller, and have been very disappointed. So f

This course was very challenging, but as long as you follow along with the activities and course readings thoroughly then you'll do great. If you're somewhat familiar with coding or at least web design then you should do fine. I like how the course has a video and then another section afterwards is the video in text. Thanks for offering this course!

Muy clara la explicación de las herramientas. Lo mejor es la introducción que se le da a herramientas como github para poder crear tus propios proyectos. Defitivamente es muy útil para los que no tenían ni idea de como ingresar a estas plataformas. El curso se puede terminar en 3 o 4 dias facilmente usando un par de horas por día. Gracias al equipo.

This course gives a wonderful introduction to the world of data science. You'l probably finish it with plenty of time to spare which makes jumping in the middle of the next course very tempting. I did that and i had a hard time. It would be best to familiarize yourself with the other commands in github and explore the many helpful sites instead.

Data science has emerged as one of the most important pillars in today's competitive environment. It is vital to educate yourself on the subject. Coursera is a fantastic resource for anyone who wants to learn something new, quick and easi manner. Coursera offers a variety of courses that everyone should take advantage of. Thank you, Coursera team.

As I want to become a Data scientist and I enrolled in this course this course is amazing teaches allot of thing. As when I enrolled in this course they taught me from the basics. In my past 2-3 years I was not knowing about Rstudio, R-programming etc. But coursera taught everything from basic. Now I fell that I have enrolled in the right course

good tool tips but with some hard to make SSH and pull not working downloaded github desktop and take projects from RStudio and pull, using github desktop maybe add some tips for this program because to some person it will help like me, every have diferent PC and language.(Searched google every writing about some space not about solving problem)

I would like to thank Coursera team for providing such a good opportunity specifically the mentors of JHU, for sharing excellent video lectures. I would recommend my friends, colleagues, and juniors about this course, who is having keen interest to grow into the field of data science. Looking forward to complete the upcoming series of sessions.

This was a great beginner course given that I had no previous experience with coding or R Programming. It went at a good pace, I could work on my own time, and I appreciated the option for both video and script. While it only taught basics, it provided websites and connections needed to continue my understanding of the data science community.

Course is not as time-intensive, however it contains a lot of important information and helps lay out solid foundation in data science. Information is presented in an easily digestible and engaging manner, including some fun references/easter eggs that help lighten the mood. Tutorials for software are also easy to follow. Highly recommended.

I really loved the presentation style. It cratered to all learning styles which I find to be essential for online coursework. The information was basic, but it never hurts to have a solid foundation before going to the next level. Since the next course really throws learners into the deep-end, this course is necessary to be ready to go.