Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
(243 Reviews)
(1056 Reviews)
Top reviews
LR
Sep 7, 2017
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
SF
Apr 14, 2020
As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
5401 - 5425 of 7,152 Reviews for The Data Scientist’s Toolbox
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 A couple of things were outdated so I had to figure them out on my own.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 9, 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 24, 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.
By Cristiano L
•Aug 11, 2020
Good and objective course. Gives the basics about data science and how to get started with R software.
By Brandon W
•May 23, 2020
Good course. I felt the Git course went a bit too quickly (and I have experience with Git and Github).
By Sanidhya S
•Dec 21, 2018
Great cousre for starting in the data science since, it contains the installation and usage of tools .
By Danylo K
•Sep 10, 2018
From the begining of the course thats difficult to catch structure if you are new to the Data science.
By Russ L
•Apr 14, 2018
More direct examples would be nice. Kinda like what they do on Data School. Otherwise very well done!
By Aliaa M A
•Nov 30, 2017
Brief and Excellent! Content great for anyone getting into software development not just Data Analysis