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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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5676 - 5700 of 7,122 Reviews for The Data Scientist’s Toolbox

By Abin R

Feb 1, 2017

Excellent primer course....just the entree...harder stuff is coming

By Alexandros K

Oct 23, 2016

Nice intro but i think only if you want the whole specialization.

By Akshit A

Sep 24, 2016

A really basic course many programmers know all about this already.

By Sourav G

May 3, 2023

This course covers some of the basics of data science pretty well.

By Tatiany M d S

May 5, 2021

Faltou mais exemplos e no certificado não aparece a carga horária.

By Yhael S J C

Jul 4, 2020

Interesante y algo para empezar que debería ser básico al aprender

By MORAPALLY R R

Jun 11, 2020

better experience and looking forward for more and more knowledge.

By Akshay N

Jan 24, 2020

Basic course. Didn't really enjoy the automated voice from Polly.

By Siddharth J

Jul 12, 2019

It is a good course. Can include some more topics and explanation.

By Waldemar T

May 22, 2017

Great introduction of subject matter. I'm excited to participate!!

By Giovanna A G

Aug 2, 2016

This course provides very nice and useful tools for data analysis!

By Thomas D

Jun 15, 2016

Succeeds in conveying course prerequisites, contents and benefits.

By Robert d L

Oct 4, 2020

A good start to getting ready for the data science course proper.

By Muhammad S 1

Apr 25, 2020

Great course but more stuff about R Programming makes it perfect.

By Anies v T

Jun 20, 2019

One instruction-video was not working, but the text was avalable.

By Alejandra M R

Jul 25, 2018

More instruction regarding Git on Mac would be extremely helpful!

By Radhika G

Jul 10, 2018

Week 3 should be more detailed . What they are trying to explain,

By Divya N

Jun 30, 2018

Pretty descriptive for beginners who do not have basic knowledge.

By Dave K

Jun 1, 2017

Great intro class. Some boring lectures if you already know Git.

By Ronnie D

Mar 4, 2017

Good course! Lectures are easy to follow, have good instructions,

By Stefanie H

Dec 9, 2016

Good course; homework exercises are not particularly challenging.

By Patrick S

Oct 1, 2016

Good course stuff. A little bit too fundamental for a programmer.

By Gaurish S

Aug 10, 2016

should contain more tutorials about Git and GitHub functionality.

By HuDie落落

Jul 20, 2016

It would be better if they are these practice teaching in detail.

By Mycal B

Mar 25, 2016

Good course, but it needs to be more difficult and more in depth.