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

4.6
stars
33,958 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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1526 - 1550 of 7,155 Reviews for The Data Scientist’s Toolbox

By Garrett F

Apr 13, 2020

This course is definitely a part of a larger set of courses and I would take it as such.

By Sara G

Oct 30, 2019

I really enjoyed this course. The course invested in explaining all the basic consepts .

By Siddhartha S

Oct 1, 2019

The perfect place to start with.. for beginning your Analytics journey. Very Insightful.

By Elisa V

Feb 19, 2019

Very good course. I really enjoyed it and the provided course material was very helpful.

By Timothy D

Jul 5, 2018

This course offers a solid introduction to the tools that are commonly used in industry.

By Paul K

Sep 19, 2017

This course was the perfect introduction to the world of using data to answer questions.

By Willian R

Jul 8, 2017

Sensacional! Prático e detalhado o curso oferece rapidamente uma base sobre ferramentas.

By Daniela J

Feb 22, 2017

very nice explanation. Professors' knowledge is quite high. im completely satisfied with

By Jon I

Mar 15, 2022

A lot of material in this course but was organized in a way that it was easy to consume

By Juan F M G

Jun 25, 2020

Me gustó mucho el curso. Fue retador y a la vez era posible realizar lo que se proponía

By 4149_Apurva P

Jun 11, 2020

The entire course is well organized and gives a unique perspective towards data science

By Abby W

Mar 26, 2020

Clear steps, lots of real world examples included. LIked the git element to the course.

By Nerijus C

Feb 25, 2020

Very clear and helpful course. Will recommend to anyone willing to learn data analysis.

By Miguel S

May 30, 2019

It really gave me the insight I needed to get started on R, and the data science world.

By David A

Mar 25, 2019

Provides a good understanding of tools and environment need to do statistical analysis.

By Lu L

Nov 22, 2018

I really wish I could find this course earlier! It's really useful!Highly recommend!!!!

By Nishtha P

Oct 9, 2018

The course was great!! Great efforts taken by the faculty and I really enjoyed learning

By Conor J

Jul 5, 2018

Good intro to the topics and tools of data science. Looking forward to completing more.

By Elías B

May 22, 2018

job course, good introduction of tools that we will use, it is clear and fast t learn

By Jessica H

Oct 30, 2017

This course is very straightforward but provides a nice overview to the specialization.

By Jatinder K C

Sep 21, 2017

I have learned about the tools used in data science.this course is very helpful for me.

By Clicks & E

Jun 5, 2017

Great and effective course.. The course is well planned and learning is clear and best.

By Rodney J

May 22, 2017

This is a great introduction to R and RStudio which should serve us well in the future.

By Érico R

Dec 19, 2016

It's very complete way to start learn about the data scientist tools and data analysis.

By Ujval B U

Nov 15, 2016

Well planned introductory course giving insight to the tools required for data analysis