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.
5476 - 5500 of 7,152 Reviews for The Data Scientist’s Toolbox
By Joshua S
•Apr 22, 2016
This was a great introduction to the tools. Just don't expect to actually do any analysis yet.
By Jeffrey C
•Feb 11, 2016
Gives you the tools you need to learn the rest of the courses, by itself is completely useless
By AKSHAY M
•Feb 22, 2020
It's a very nicely designed course which is very easy for beginners to start off with coding.
By shreeraam D G
•Jul 31, 2019
A great introduction to the necessary tools to kickstart data analysis through R programming.
By Anirudh J
•Jul 29, 2018
Is a great course for beginners.Just wish it would have been designed to be more interesting.
By Alexis R
•Nov 11, 2017
Excellent. Can you provide links of your PPT. The ones in the pDF are not clickables. Thank's
By GIBOIRE J
•Oct 19, 2021
Practical and accurate, concepts and procedures are introduced as we need them to progress.
By Xin G
•Sep 25, 2021
Those tools are too basic which only helps newbies to warm up. However, it is quite detailed
By Deleted A
•Oct 22, 2020
In my opinion , the real person sound can be better to consantrate to the lecture deeply. :)
By Rejuwan S
•Sep 10, 2020
It will be good if these guys describe more about R markdown and github otherise it is good
By Mari G F
•Mar 24, 2018
Not a lot of practical application, but good conceptual intro with a little bit of practice.
By Christian L
•Nov 26, 2017
Good presentation of information and stressed the importance of "hacking" and self-learning.
By Paresh D
•Oct 28, 2017
push and pull of repositories should have been explained more clearly,rest course was great
By Chris D
•Jun 3, 2017
A little incomplete as a standalone course. Really forces you to pay for additional courses.
By Elízio R d A
•Mar 6, 2016
The course is great, I just think the course should has a little more content to be perfect.
By Sanele K
•Mar 13, 2021
A very good course that will well prepare you for future courses you'll take in the future.
By Saad B M A
•Aug 27, 2020
Amazing experience I got from this course. It is a perfect intro to the data science world.
By Tanya S 2
•Jul 18, 2020
Good content. Easy Accessibility. Clear and precise learning. loved learning this course :)
By Ben W
•Jun 17, 2020
Good introduction to the tools that will be used in the rest of the courses in this series.
By Hongxuan Y
•Feb 5, 2020
This course would be quite helpful for those who step into data science for the first time!
By Aman K
•Jun 5, 2018
Good course, can be better with some small tweaks here and there otherwise well structured.
By Nana A B
•Jun 2, 2018
This course definitely gave me a great overview of what to expect in the data science field
By Matheus P S
•Feb 12, 2018
Como curso introdutório das ferramentas muito bom. Achei um pouco longo desnecessariamente.
By Changlin Z
•Aug 28, 2017
very good starting point for people does not have any background in stats and R programming
By Anil M
•Jun 26, 2024
Well done however some time audio is not relating to the contents displayed on the screen.