Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
(243 Reviews)
(1056 Reviews)
Top reviews
AI
Apr 23, 2018
This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.
AK
Mar 11, 2020
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.
5401 - 5425 of 7,169 Reviews for The Data Scientist’s Toolbox
By William L F
•Oct 20, 2017
Sometimes difficult to follow along for actual programing and directions can be vague. Overall, decent intro.
By Vladislav P
•Aug 19, 2016
Good introduction, tells you what Data Science actually is. Also teaches you basics of GitHub, R and Rstudio.
By Paul E H
•Mar 11, 2016
Getting things set up is not that exciting, but a necessary part of it. I'm looking forward to learning more.
By Veronica W
•Jun 16, 2020
Perfect for beginners. Not many problems encountered. Forums helped with any issues not covered in material.
By Yohana C
•Jan 24, 2020
Excellent course that provides the necessary tools for those that want to get started into the Data Science.
By Fulvio B
•Apr 7, 2019
It gives you the basics concepts of data science. A bit impersonal the lectures but after a while you adapt.
By Rodrigo A C C
•Aug 7, 2017
It was good enough but I think you need to be more clear in terms of Git. I still have some doubts about it.
By Shashi K P
•Dec 13, 2016
The course introduced us to data science questions and got us to know collaborating with peers using Git Hub
By Cathryn S
•Jun 5, 2016
Fine as a general introduction, but not a lot to it. Good explanations of how to use github and get set up.
By Abhinay R
•May 26, 2016
A very good intro course but must be priced lesser when compared to the other courses in the specialization.
By Seung J L
•Feb 8, 2021
Some of the material could be updated even more, but in general a good intro to a data scientist's tookbox.
By mohamed y
•Apr 10, 2020
Great introductory to the data science tool box and its usage and benefits __ data science 0 course really
By Miryam A M C
•Feb 10, 2020
Algunas partes del curso deberían tener mas ejercicios para practicar lo visto y reforzar mas lo aprendido
By Dushyant B
•Mar 4, 2017
A good course to set up your software tool kit before you start your dive into Data Science Specialization
By Ihab A
•Jul 13, 2016
This course is perfect for really newbie. However, it also answers the question of "What is Data Science?"
By harish s
•Dec 1, 2020
Good and clear explanation. if more assignments were given for practice, to would have been more helpful.
By Meagan B
•Apr 13, 2020
Easy to follow for the most part. A couple of things were outdated so I had to figure them out on my own.
By Chen S
•Dec 29, 2019
the course omits some important things like how to download MikTex and how to use it to open an rmd file
By Anku N M
•Jan 9, 2019
Course was good, but would have been nice to have some TA/professor oversight of the discussion forums...
By Adam S
•Feb 8, 2017
So far so good, Git was a bit difficult to get going but I'm excited to continue with the specialization.
By Michael M
•Jan 30, 2016
A good course for identifying the field of data science and introducing the computing tools of the trade.
By Bernard O
•Jan 22, 2021
A simple introduction to R and data science. You have given me the appetite to know more and learn more.
By Guillermo C P
•Jul 23, 2020
Sometimes beginners MAC's users get a bit lost due to many explanations are only for Windows environment
By Thomas Y
•May 6, 2017
Straightforward, and I know what to expect for the next few chapters with John H University. Thank you!!
By Filipe M
•Aug 28, 2016
Good introduction to data science, however it should have more details and practical examples about Git.