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Learner Reviews & Feedback for The Data Scientist’s Toolbox by Johns Hopkins University

4.6
stars
32,503 ratings
6,936 reviews

About the Course

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
Highlights
Foundational tools
(243 Reviews)
Introductory course
(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.

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6301 - 6325 of 6,822 Reviews for The Data Scientist’s Toolbox

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 M

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

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 J O G

Oct 28, 2016

Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.

By Kristina

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.

By Adriana M M V

Mar 29, 2020

Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.

By Sourav P

Jul 29, 2018

One Could have introduced the basics of R in this course..The course was too easy..Even for beginners