(243 Reviews)
(1056 Reviews)
NB
Jun 2, 2017
Nice Course. Basics are very well taught in this course.Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.
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.
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 11, 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 A couple of things were outdated so I had to figure them out on my own.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.
By Eileen S
•Feb 8, 2016
Super basic introduction. I liked the last section reviewing data science methods and conceptual ideas.
By Donghee L
•Jan 31, 2016
I think more detail statements are needed on PDF.
Because I'm not good at listening, so I studied by PDF.
By Shriya I
•Aug 12, 2020
Extremely informative & interesting, Instructions can be followed with ease. Worth the time and effort.
By John E F
•Dec 4, 2019
Excelente curso, porem diferentemente da descrição, existe legenda em português, apenas para um modulo.
By SATYA P P
•Oct 2, 2018
Structure, content and step by step practice was good. Interface to browse the courses could be better.
By Deleted A
•Mar 23, 2016
Good start, looking to dig in more, as I already have a background in stats data analysis and data viz.
By Vicent G
•Jan 27, 2016
Quite simple. It could be more engaging.
When downloading PDF slides, links in them should be clickable.