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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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551 - 575 of 7,126 Reviews for The Data Scientist’s Toolbox

By Rosa M

Feb 17, 2021

The Data Scientist's Toolbox is a quick and thorough introduction to the software needed for R programming and configuring it properly for the next class in the certificate.

By Dr. R R K

Aug 7, 2020

It's quite challenging learning this course being a biotechnologist. With coursera, the concepts and skills which I learned can be directly applied to my field of research.

By Bhargava B

Feb 15, 2018

This is an introductory course. This helps those who are starting from the absolute basis level, and the course does a good job with regard to getting the feel of the tools.

By Farhan

Dec 2, 2017

Great Introductory course on Data Science. Would have been better if it covered a little more. But as the first course in the specialization, it covers all the basic fields.

By Ozgur O C

Jan 4, 2017

Fantastic introduction to a topic I always found daunting. Thanks to everyone involved for preparing such an informative and soft approach to a hard topic like data science.

By Jonathan L

Jun 10, 2016

Very simplistic and could be covered in a handout as part of another course. Unfortunate that this is a requirement of the specialization, otherwise I would have skipped it.

By Tan L

Dec 29, 2022

I was always confused with Git/GitHub and other courses don't introduce it well (just expect you to know) so I'm so glad this course introduced version control thoroughly!!

By Varun V

Mar 2, 2021

Fantastic course to get you started with you Data Science career. A course that dives well in to the fundamental needs in order to learn and perform Data Science projects!!

By André A

Sep 24, 2020

Very good course, it gives a good start at data science and gives a good explanation about version control and linking Git and Github with RStudio, which is very important.

By Ludwing G F F

Aug 22, 2020

A pretty good introductory course to Data Science, delivers the good tools to know the environment, the main theory and some useful guide to how resolver incoming problems.

By Prem K S

Jun 16, 2019

Interactive, informative, valuable course for beginners who wants to make career in data science and analysis. Learned data analysis tools and introduction on data science.

By Eduardo A

Dec 31, 2017

Very nice course to present a panorama of what is data science as well as the main tools used. I strongly recommend buy the "Elements of Data analytics style" From J. Leek.

By Sk M

May 16, 2017

This was a great experience for me, I would personally recommend every data science aspirant to take this course before starting with programming in R or Python language.

By Mikkel H J

Mar 17, 2017

Give a brief and concise introduction to many of the tools a data scientists should be familiar with. It serves as a good starting point for someone getting into the field.

By JT

Apr 4, 2016

As a novice to data science, this was an excellent introduction into the (very) basics behind how to get started in the field. Great way to begin an education in this area.

By Juan E V F

Oct 15, 2020

It was an amazing experience to go through this course. Everything fits well, and the understanding of the modules are great. Very well explained and very good documented.

By Vicki P

Aug 30, 2020

I think that the course was great for a beginner. It explained things clearly and went through things step by step. While a lot was covered, it wasn't overwhelming at all.

By LEYTON V H E

Jul 13, 2020

Es muy interesante, ya que se encarga de establecer los conceptos básicos de la Ciencia de Datos, y presenta una a una las herramientas que se requieren para este estudio.

By Abhishek S

Jun 30, 2020

The Course Is well structured for beginners.

The course content is well detailed and easy to understand.

Quiz Modules are well designed with the pace of the course duration.

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!