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.
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.
5476 - 5500 of 7,158 Reviews for The Data Scientist’s Toolbox
By Lorena C
•Sep 7, 2018
very good for a beginner... but i was a bit disappointed as i thought it would have more dept.
By Derek R
•Oct 14, 2017
It's a nice introduction and gets you to install some of the tools. Now I'm eager to use them!
By Arga R S S
•Sep 17, 2016
Very enlightening of a course for those starting their journey as a data scientist or analyst.
By Waleed M
•Jun 24, 2016
Nice course, but at the end it is just introductory course, so i am waiting for the coming one
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.