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

4.6
stars
33,840 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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5526 - 5550 of 7,126 Reviews for The Data Scientist’s Toolbox

By Gabriel E B

Apr 14, 2020

It's the basic introduction to all the tools you will use for the Data Science Spec.

By Tejas B

Sep 30, 2019

Great Into course! It's always good to get the basics right before the greasy stuff!

By Jack

Jun 30, 2019

Great course - a few grammatical/syntax issues in the quizzes but otherwise love it!

By Daniel M D V

May 18, 2019

Very basic course to set-up the necessary tools for the specialization. Nothing more

By David R

Jul 31, 2018

A good overview of the tools needed for the rest of the data science specialisation.

By Amol G

Jul 16, 2017

Elaborate and precise course for beginner introduction to the wide range of courses.

By Axelle R

Apr 3, 2016

Good introduction to tools if you don't know them already. Otherwise very remedial.

By Dominique G

Feb 6, 2016

Good introduction to data science, primary tools and what the spec. course is about.

By saisusrith v

Jul 18, 2020

The content of the course is good but the robot voice is disturbing and unengaging.

By Mwenge M

Jun 15, 2020

machine read lectures are not as easy to follow as those presented by human beings.

By Abhinav P

Jul 13, 2018

Gives the initial set up knowledge and idea into the field in a very structured way

By Kyle H

Nov 20, 2017

Nice simple introduction to the tools the reset of the specialization will require.

By Blazej M

Oct 18, 2017

Very very basic... Good for someone without any prior experience with R or Rstudio.

By Peter Y

Mar 15, 2017

Audio level is too low and not balance, ever worser then udemy, please fix it asap.

By Omar M

Apr 21, 2020

good enough for a kick start with r studio and understanding what is data science.

By Xinyue N

Feb 15, 2018

It is a good course for you to understand some basic information of data analysis.

By Gokulnath K S

Oct 18, 2017

Nice course to start as it gives a grasp of everything that we are going to learn.

By Raheem H

Aug 1, 2017

Good introduction to software, and some basic principles, needed for Data Science.

By Roberto S B C

Jul 20, 2017

well explained but no interaction. Also, slides are old and not always downloable.

By Shanti C

Nov 6, 2016

This was a good basic overview and orientation for the rest of the specialization.

By Paulo J A C

Jun 15, 2023

A voz de robô não é muito legal de ficar ouvindo, mas fora isso, excelente curso!

By Nana B

Sep 30, 2020

The audio version isn't working for me but all the same good course for beginners

By Ibrahim M

Oct 8, 2016

Great course! well paced and timing appropriate. Quizes reflected taught lessons.

By Tyler M

Feb 7, 2016

Pretty easy, but totally necessary information needed to continue down the track.

By Yu-jong T

Nov 13, 2020

A lot misc useful materials. Nice to know but may find boring until you need it.