Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University
About the Course
Top reviews
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.
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.
6301 - 6325 of 6,821 Reviews for The Data Scientist’s Toolbox
By Aditya K R
•Super basic and boring stuff. Mostly talks about R Studio and GIT. Not of much help to those with IT experience.
By Ahmad A
•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 M
•Very introductive. I hoped more about this course. There are interesting stuff but I'd rather more work volume.
By sérgio C
•Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!
By Deleted A
•Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p
By PATHIK C
•There is practically nothing in this course to learn. It can be termed as a introduction to the specialization
By Andrey T
•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
•Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.
By James M
•Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.
By Aneesh B
•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
•A little more depth on R and R studio and the rest and more data driven projects would have been appreciated
By Leyla C
•Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.
By Roman K
•The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.
By Bill S
•Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.
By Shawn O
•Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.
By Shrestha P
•It was great to know new terms and tools used in data science. However, the course is mostly theoretical.
By Jensen K
•Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.
By Simin X
•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 J O G
•Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.
By Kristina
•Not a fan of the quizzes since they do not provide rationales or solutions if you got an answer wrong.
By Abdallh A
•Good course for supporting the rest of the specialization. However, it has very little use on its own.
By M S G
•Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash
By Karan A
•Course is good overall, but it could be more detailed and informative which is lacking at some topics.
By Adriana M M V
•Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.
By Sourav P
•One Could have introduced the basics of R in this course..The course was too easy..Even for beginners
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