Chevron Left
Back to The Data Scientist’s Toolbox

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.

Filter by:

1576 - 1600 of 7,152 Reviews for The Data Scientist’s Toolbox

By Juliana N

Aug 2, 2020

Adorei, bem simples e prático. Ótimo para começar de uma maneira leve e descontraída.

By Tope M O

Jul 31, 2020

This is really helpful, keep impacting life into men that will build their generation

By Pratama A A

Jun 8, 2020

Even with audio transcript ,you still can get the insight from the lecturer ,clear !!

By Shashwat K

Jun 7, 2020

Introduced concepts which are very essential for building the basics of data science.

By Jonathan A M M

May 28, 2020

One of the best courses that I've ever made, the only problem is the voice assistant.

By SATHYANARAYAN U P

May 11, 2020

Very great course to start off in the course of data science and as a data scientist.

By prasanth g

Mar 31, 2020

It's a good course...and you need to put a little more effort apart from the content.

By Ian N M

Jan 7, 2020

The course was very insightful, and well paced. Much appreciation to the instructors.

By Ajinkya N

Mar 22, 2019

Its great start to learn Data Science.

Concepts explain in each lecture are very good.

By Robert I

Mar 6, 2019

After this course I have knowledge of the tooling I need for practicing data science.

By 王晓

Dec 27, 2018

Very good learning experience. Though the materials are bit of old but still helpful.

By Ray

Jun 16, 2017

The Course is very useful and worth learning. Thank you Coursera for this great help/

By Kacham N

May 30, 2017

Excellent course, we will learn the basics of github, Rstudio and its functionalities

By chaitanya r

Jan 22, 2017

Very good introduction to Datascience and an overview on the tools used for analysis.

By Jeny e

Nov 11, 2016

I absolutely loved this course, it a wonderful foundation for the rest of the course

By Christine G

Feb 27, 2016

Great for beginners. Just take your time and you'll be able to figure everything out.

By Becci D

Feb 6, 2016

Good, clear introduction to Data Science. Looking forward to the rest of the modules!

By Viktorija M

Aug 15, 2022

The course is well organised, clear in instructions, and very helpful for beginners.

By Juan C G

Dec 15, 2021

Well written with clear examples to help you sset up key tools (RStudio and GitHub).

By Bharathi V

Oct 31, 2021

Course is very good for beginers. Informative with good guidance and online support.

By Wang Y

Jun 22, 2021

I learnt some basic rules of using R and what clinical study can be made. Thank you.

By Thiago B R S

Jun 3, 2021

A great introduction about the tools and concepts needed to become a data scientist.

By Harold N

Apr 3, 2021

This course has been very informative and come with a lot of learning opportunities.

By Arya R

Oct 23, 2020

Theoretical sessions are bit boring and can be improved with pictorial presentation.

By thetpyae s

Aug 16, 2020

It's a really amazing course for me and I can understand special tips for my thesis.