Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
(243 Reviews)
(1056 Reviews)
Top reviews
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.
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.
6601 - 6625 of 7,151 Reviews for The Data Scientist’s Toolbox
By Morgan D
•Apr 18, 2016
Lots of very general review information, not much new stuff. Did force me to start getting familiar with gitHub.
By Aditya K R
•Mar 3, 2019
Super basic and boring stuff. Mostly talks about R Studio and GIT. Not of much help to those with IT experience.
By Ahmad A
•Oct 7, 2018
the voice is too low and the level of instructing are not for beginners, but with a lot of effort you could pass
By Rafael T
•Apr 7, 2019
Very introductive. I hoped more about this course. There are interesting stuff but I'd rather more work volume.
By Sérgio C C
•Jan 16, 2017
Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!
By Deleted A
•Dec 29, 2016
Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p
By PATHIK C
•Oct 13, 2016
There is practically nothing in this course to learn. It can be termed as a introduction to the specialization
By Andrey T
•Sep 6, 2016
The course is too easy to be called a course. Just an easy intro, which you can complete in a couple of days.
By Tamir L
•Jul 25, 2016
Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.
By James M
•Feb 24, 2016
Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.
By Aneesh B
•May 26, 2020
It is good for those who are looking what is data science and how to install R and Github and how they work.
By Aritra D
•Jul 24, 2019
A little more depth on R and R studio and the rest and more data driven projects would have been appreciated
By Leyla C
•Feb 24, 2020
Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.
By Roman K
•Oct 10, 2017
The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.
By Bill S
•Apr 12, 2017
Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.
By Shawn O
•May 28, 2016
Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.
By Shrestha P
•Jan 18, 2020
It was great to know new terms and tools used in data science. However, the course is mostly theoretical.
By Jensen K
•Feb 7, 2016
Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.
By Simin X
•May 5, 2017
It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.
By JOHN O G
•Oct 28, 2016
Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.
By Santiago N V G
•Sep 18, 2022
I think the content is not enought for an entire course, perhaps it can be a part of another course.
By Kris
•Dec 20, 2020
Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
By Abdallh A
•Dec 11, 2019
Good course for supporting the rest of the specialization. However, it has very little use on its own.
By M S G
•Feb 3, 2019
Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash
By Karan A
•Jul 6, 2018
Course is good overall, but it could be more detailed and informative which is lacking at some topics.