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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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576 - 600 of 7,151 Reviews for The Data Scientist’s Toolbox

By Rakshit A

Sep 9, 2018

An excellent course to start data science, it will clear all your doubts and help you to know main points related to data science and tool any data scientist would require

By Nicolás H

Apr 27, 2020

Es un muy buen curso introductorio al Data Science. Es sencillo y te abre la mente al mundo de la ciencia de datos, despertando curiosidad en las herramientas que ofrece.

By Vivek M

Sep 9, 2019

This course is beautifully designed to introduce to the very basic concepts of how Data science courses begin. This is very much a Toolbox for an aspiring Data Scientist.

By Sasikanth R E

Jan 21, 2019

Excellent course for Data Science Program and aspirants of the Technology. Periodic assignments and follow up activities would help in mastering the subject of analytics.

By VIKAS T

Apr 9, 2018

It was nice but I would say could have been better if the instructor would have shown more interest in his delivery and focused more on essential stuff. Thank you anyway.

By Qudsia S

Feb 1, 2017

It was a very detailed course and the mentors absolutely exceptional. The extra exercises really helped achieve a better understanding of how to use the tools. Thank you!

By Jiaying Z

Feb 6, 2021

The structure of this course is very reasonable. Especially for a beginner, the content is good,giving me a preliminary understanding of data science.. Very good course.

By Mohammed M

Nov 25, 2020

Its a great course to start with data science and it is easy to access the content in the depth knowledge. I am glad to part of this coursera. Thank you so much TASK....

By Rizwan U

Jul 21, 2020

An encouraging first step towards the world of data science. Perfectly designed for beginners, I would strongly recommend to all the newcomers of the data science field.

By Ayodeji O

Jun 26, 2020

Carefully curated and riveting course for a data science newbie, this course provides a sound fundamental for anyone willing to learn and build a career in data science.

By Medha S

Feb 7, 2019

Great introduction to Data science. Can be a little more informative in terms of Data science for someone who is only taking one course and not the whole specialization.

By Estella E

Mar 16, 2021

This starts a very good foundation for understanding and installing everything you need to use R and Rstudio. I look forward to the rest of the courses in this program.

By Herath M N S B H

Aug 21, 2020

This course helps me to understand the fundamentals of data science & R programming. I'll definitely recommend this course for beginners who interested in data science.

By Danilo P J

Jul 8, 2020

A great introduction to Data Science with R. It teaches the basic concepts to start with data analysis and show how to set the tools up to start working professionally.

By Erin S

Jun 22, 2020

This course really gives a good overview of tools data scientists will find useful. It can actually be completed in a very short time (less than a week) fairly easily.

By shawn s

Apr 1, 2020

I liked it a lot. It set me up to start learning R with confidence and, from not knowing anything last week to now having a basic understanding of it all is gratifying.

By Daniel F V C

May 23, 2017

What a great course. For being a data scientist is not enought to know the algoritms but the correct tools to share your results, so, this course results very practical

By Marcelo Z

Jun 4, 2020

Exelente didática métodos e ferramentas utilizadas, sou brasileiro, não falo inglês e estou conseguindo realizar com ajuda do Google Tradutor sem prejuízo do conteúdo.

By Israel D

Nov 17, 2018

Excelente curso y buena información para iniciar en el mundo del Data Science, y como dice el autor, hay que ser un Hacker, investigar mas por nuestros propios medios.

By Dan S

May 20, 2016

This is a nice, thorough and clear introduction to Data Science. The instructor provides all the details to get started in this specialization. Can't wait to continue!

By Shravani B

Mar 20, 2016

This Course helped me to understand the foundation skills. I practiced on GitHub with assignments and now I feel the flavor of getting things done in a systematic way!

By Vineeth C

Apr 30, 2020

Nicely put together simple course for beginners and experienced as well. by starting with the basics they make sure to create interest rowing in you as you go along.

By Stacie B

Dec 5, 2018

Great foundation. I was able to crank through it fairly quickly (I have a Unix background). I'm excited to go through the rest of the Data Science Specialization.

By Felipe M

Aug 2, 2021

Thanks !!! I've learned a lot through this month ... It has been the best investment I've made this year, and I'm an independent finance consultant !!!

Regards,

Felipe

By Mthobisi M

Dec 31, 2020

A good introduction to the world of data science and the important tools needed to succeed as a data scientist. I highly recommend completing the full specialisation