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

4.6
stars
33,933 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

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.

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.

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426 - 450 of 7,151 Reviews for The Data Scientist’s Toolbox

By Robin F

Oct 12, 2018

This course will probably be too easy if you already know about data science but it is perfect for neophytes who do not have the tools and the codes of data science yet. I strongly recommend this course!

By Lailatul S B A R

Jun 12, 2020

Good introductory course and easy to follow to have basic understanding on Data Science and R programming language and how to use and interlink between R, RStudio, GitHub and the rest of the tools used.

By Christian S

Jan 12, 2020

I've been using SAS and Visual Basic as primary data manipulation tools from my very first job to date. I wanted to learn R/RStudio and this course provided a very good introductory learning experience.

By Alice

Mar 30, 2019

A great start to the world of data science. Love the idea of duplicating videos with text courses. I'm saving all texts to a folder for future use - this is a gold mine! Great job on the course, people!

By Md I A

Jan 7, 2018

This a a nice introductory course for approaching data science domain. The instructor and course materials are very good to understand the basic concepts of the tools required for data science projects.

By HANEESH K M

Aug 16, 2020

This is an introductory course which will give support in setting up all the basic tools for datascience like github. This course also discuss the basic features of datascience and statistical analysis

By Peter D

Jun 7, 2020

This first module for the course is a great step in learning the fundamentals of Data Science. The RStudio and GitHub classes are excellent. I now have a starting point to mastering those environments!

By Anshu S

Dec 20, 2018

This is a very important courase for the basics of all the software, tools and concepts regarding Data Science. I learned a lot with this course and the lecture is quite sufficient for the basic of it.

By Geetanjali B

Sep 3, 2016

This course helps people attain the basic knowledge of the tools that are to be used while creating scripts. It also emphasizes the value of community feedback, which helps us learn in a better manner.

By amit k

Mar 12, 2020

I would like to thank Coursera and Johns Hopkins University for the course, I learned new things in the course which I think is the next step which can help me to accomplish my future goals.

Thank you.

By LUIS F A E

Oct 12, 2020

Excelent course, it teaches you the basics of data science and how to set up all the software you will need. It's very basic but if you have no idea about data science it's a great introduction to it

By Nishank B

Jun 3, 2017

Nice Course. Basics are very well taught in this course.

Thank you JHU and Coursera for this course. I have decided to donate 10% of my first salary to coursera once I am complete this and get intern.

By Arturo P

Nov 1, 2020

it's a really nice introduction to the data science world and to the experimental design. Also it has useful tools like the usage of github and git to share and make projects in a unlimited-like way

By Darek G

Jun 13, 2017

Pretty easy, and never felt like it was a struggle to find the information that was needed. Basically a setup course for out things you'll need for the likes of R Programming and Data Science work.

By Advait L

May 23, 2021

The course is great for beginners, especially with a focus on the fundamentals of data science and RStudio. It provides a great introduction to Git and Github, which makes it extremely informative.

By Maundrey W K

Oct 15, 2018

This course is perfect for pure beginners, because it introduces the student to what Data Science really is and what a skills and knowledge a student should possess in order to be a Data Scientist.

By Leon J R

Sep 19, 2018

Good Data Science Tools foundation course. You get your hands dirty a bit and you get to learn how to solve some issues with resources. Great practical experience on top of the knowledge additions.

By Ankur S

Dec 19, 2016

Good introductory course. Gives you an insight into the courses and topics which you will come across in the future. Would recommend this for beginners who want to get an insight into data science.

By Isabel B

Apr 18, 2024

Very helpful setting up tools. I also appreciate the option to skip the videos entirely - reading the text/image version instead encouraged me to play around with the subject matter while reading.

By Deleted A

Sep 27, 2021

I liked this course and found it fun to learn programming in R, RStudio, and creating Github repo account, version control, etc. I am excited about learning R and looking forward to data analysis.

By Chunya S

May 22, 2021

Very useful and helpful for beginners like me. I learned the operations step-by-step, and I can operate on my own. I really like this course. Many thanks for Coursera and Johns Hopkins University!

By Dipanshu S

Sep 10, 2020

It covers pretty much everything basic required to start your journey in field of Data Science. It is not very difficult to understand, thereby boosting your confidence to give Data Science a try.

By Sheila K

Feb 22, 2019

This course is engaging and difficult to put down. I was obsessed with completing this each week and actually finished a bit earlier. I consider myself nontechnical but the format was well done.

By Cauan B d S C

Jan 23, 2019

Ótimo curso e com uma extensa bibliografia que deve ser apropriada pelo estudante para se aprofundar mais no assunto. Um começo excelente para quem quer iniciar a carreira como cientista de dados.

By budebrock

Feb 15, 2016

A great introduction to some of the tools of a Data Scientist. Just enough information to get you going, but still leaves enough mystery so that some investigating and problem solving is required.