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

4.6
stars
33,575 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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6626 - 6650 of 7,052 Reviews for The Data Scientist’s Toolbox

By isha v

Aug 12, 2017

Please include some optional Quizzes/Assignments also for practising.

By Prasen M

Apr 17, 2017

Very basic introductory course. Looking forward to the other modules.

By Juliana N

May 12, 2016

The instructions for using git and git hub left a lot to be desired.

By Revanth T

Feb 15, 2016

Very Basic Course. Doesn't require the time that was allotted to it.

By Matthew K

Mar 10, 2016

Probably more useful for someone with no background in programming.

By Arslan R

Feb 8, 2019

good for introduction. The sound quality is low. Can be shortened.

By Rustick T

Nov 22, 2017

Ne présente qu'un ensemble restreint des outils du data scientist.

By rotem n

Sep 13, 2016

too easy,

i wish we had more things do submit so we will learn more

By Haojun S

Sep 12, 2016

The introduction of how to use github is undetailed in my opinion.

By Rakesh

Apr 10, 2016

Too simple. Personally feel this can be clubbed with R Programming

By Kalle H

Oct 11, 2017

OK introduction to specialisation but now very useful on its own.

By Luca C

Nov 14, 2016

Not really specific, just a broad indtroduction to data analysis.

By Paul W

Oct 18, 2022

Content needs to be updated. Several of the menus have changed

By Chris B

Aug 25, 2017

I was a fan but I loathe the fact you cannot review the quizzes.

By Christian C

Mar 1, 2017

Good for a beginners course, could be a little more challenging.

By Mikołaj

Jul 2, 2019

Good course, but in 4 weeks you will get only basics of basics.

By Akash G

May 8, 2018

Course is good but I personally feel that course lacks content.

By Aldy S D R

Feb 18, 2018

I have a problem with the sound. That quality is so bad I think

By ANURAG D

Sep 26, 2017

The course is way too basic and can be completed within 2 hours

By Marcio H M

Aug 31, 2016

This one is just a warm up for the Data Science Specialization.

By Amar H

Apr 19, 2020

please improve the whole layout. introductions and so forth.

:D

By Douglas P

Jun 27, 2016

It's a good preview, but very little is actually learned here.

By 30_Pirthvi H G

Aug 2, 2020

Not informative as expected. Please include more information.

By Ja-Eun L

Jun 6, 2018

Not sure it can constitute as one course - was helpful though

By SONDECK L

Oct 13, 2016

Interesting, but could be improved with further applications.