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

4.6
stars
33,829 ratings

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

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.

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6651 - 6675 of 7,122 Reviews for The Data Scientist’s Toolbox

By Sudarshan C

Jan 8, 2016

The course was very limited, it should have been combined with Introduction to R.

By Jannatul N

Jun 22, 2020

i felt like this is so robotic. and in many cases i needed to learn from YouTube

By Antonio M

Dec 5, 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

By Caleb J

Feb 25, 2018

Not a lot of good information. Just introducing you to the programs being used.

By عبدالحميد ع ع

Nov 29, 2017

all the content of the course could be a week of some course of specialiazation

By JiHong K

Oct 21, 2017

Too simple and most contents are overlapped (already covered) in other sessions

By fengming s

Mar 17, 2016

Upgrade to submit? That's meaningless. Especially for this fundamental course.

By Max

Oct 2, 2017

It was good as an introduction , meanwhile its contents are little for 4 weeks

By Calvin K

Feb 26, 2016

It's way to easy to be a separate course. It should be part of R Programming.

By André F A

May 27, 2020

Conteúdo é bom, mas o fato de ser dado por um robô torna a experiência ruim.

By Marc m

Nov 10, 2019

This first toolbox module is all about setting up. Not much programming yet.

By Charlie R

Jul 3, 2018

Decent overview, gave me some things to google. No real substance as of yet.

By Amr A

Jun 16, 2017

I think this course needs to be much better in terms of adding more material

By Doug W

Dec 29, 2016

Good overview. Helpful introduction to topics covered in the specialization.

By Charles C

Aug 24, 2022

Boring and very rote if you are at all familiar with any of these concepts.

By Nikolai K

Nov 6, 2017

A good Introductory lesson, but for advanced students it is not nessesarry!

By Divyansh M T

Jul 27, 2017

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

By Mamar H

Jun 25, 2016

A little bite long regarding the concepts number developped in this course.

By Ian W

Aug 30, 2017

Easy course. Everything covered in this course can be found easily online.

By Mohamed A

Jun 20, 2017

Nice introduction but not many new ideas i had recive, but thank you team.

By Hamza T

Aug 9, 2016

A great course. But I still think there is a lot of room for improvement.

By Rajendra V

Feb 26, 2022

Computer voice over is not a great experiment; everything else is great!

By MEHEDI H

Jul 1, 2020

Need more friendly lecture, that's why we can understand topics easily..

By Vishesh k

Jun 16, 2018

Sound quality for every lecture is very disappointing ,very poor quality

By Abhey K

May 27, 2017

A good introduction to data science and the associated issues around it.