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

4.6
stars
33,934 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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701 - 725 of 7,152 Reviews for The Data Scientist’s Toolbox

By PRAKASH K

Apr 5, 2020

This is the best possible start a person can get in the field of data science.

I was worried about how i would get off to a good start.

Thank you mentors!

By Lee E

Oct 31, 2017

Great and helpful course to get started with R programming. Highly recommended for someone wanting to get in to R and understand how the language works,

By Guru P

Aug 8, 2016

I found this course to be very useful in shaping my analytics career. Many thanks to coursera for provinding me the financial aid to pursue this course.

By Connor B

Jan 7, 2016

Very nice to receive such an in-depth overview of the entire course before starting. Also: great instructions on how to get help, I'm sure I'll need it!

By Bruno F

Aug 27, 2020

This course is very helpful! It gave all the tools and showed me what to study and practice to become a data scientist. It is a very good way to start.

By John A

Jan 31, 2018

Includes very basic stuff like setting up a github account, installing software etc: so I guess that's great if thats' not something you've done a lot.

By Chandra N

Mar 19, 2017

Excellent instruction, step by step coverage of topic in easy to understand terms. Support study material is very good and useful for quick reference.

By Dhumil A

Aug 12, 2016

Wonderful tools were taught. Good course. The presentation of the tools was appropriate to get started quickly with these tools. Thank you Instructors.

By Teresa T C

Sep 2, 2022

It provides you with the tools you need to set and understand R Studio and Github. It also gives you nice advise about starting to manage these tools.

By Andres D C

Jul 20, 2020

Excellent, for professionals like me, this basics concepts help us a lot to be involve in the process to understand and manage the Data Science world.

By Anantaraman L

Jun 2, 2020

A step-by-step guide which helps beginners understand the course content. It has helped me develop an interest in completing all the relevant courses.

By Garlapati A

May 1, 2020

Its good platform to learn new skills.Everything is understandable.we can learn so much through this .its a good platform for begineers also.Thank you

By Alicia F

Apr 30, 2020

It is great at offering multiple ways of delivering the necessary information to be successful in the course. It allows you to go at a managable pace.

By manuel s g

Mar 8, 2020

Nice kick off for this program where you get all the tools needed to work along the program. Install and configure the tools is really well explained.

By YUQING Y

Mar 2, 2019

Brilliant lecture! After this I have got a general idea about what I need to learn to become a data analyst. And the lecture's quality is pretty high.

By Eduardo M L

Dec 11, 2018

An excellent introduction to Data Science. A must to all newbies - the course is engaging and full of real examples. The readings are a must, as well!

By Gisa C

Apr 15, 2017

Really good, with basis for the next steps in statistics. For me the most interesting thing is the Github software and it functions and possibilities.

By Thess A H

Feb 28, 2016

A good intro course - however, it's up to one's own initiative to work independently in order to test out what you've learned from the video lectures.

By Asima M

Jul 13, 2021

Brief overview of the basic requirements to start with Data Science on this course. Much recommended if you want to grow your career in Data Science.

By Subodh A

Jul 22, 2020

A great introductory course to start the Data Science journey with R Programming language and GitHub as well. Thank You to all the mentors and peers.

By Samantha Y

Jul 16, 2020

Very helpful for a starter! Not only set me up for further learning, also gave me an overview of the whole data science work and how to carry it out.

By Lee C H

Jul 2, 2020

I love how the the notes compliments the video. The notes is well linked to extra notes which really help to enhance my understanding on the lecture.

By Robert B

May 21, 2020

Super beginner friendly. Everyone taking up this specialization and no background of software development or programming should follow this strictly.

By PHAN N

Jun 8, 2019

I have read the books, they are free and very informative.

Just 40mins in Coursera are equal to more than 5 hours (2 classes) in "brick-mortar" class.

By Vladislav M

Apr 8, 2019

A great introductory course that requires no prior knowledge is fully in video format and lets you get an overview of what data science is all about.