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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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651 - 675 of 7,151 Reviews for The Data Scientist’s Toolbox

By Garrett B

Aug 19, 2020

Definitely some whirlwind action through the Terminal at times, but sets up some important frameworks and capabilities before moving to more advanced content.

By Sebastian J

Jun 7, 2020

Excellent course for the beginners. The course does justice in every manner. Superb platform to move on to the remainder of the courses in the specialization.

By Andrew S

May 7, 2020

Serves as a great intro for data science (not that I'm an expert yet), and a good resource for making sure you have R and Git up and running on your computer.

By Toby C

Apr 21, 2020

Well paced and with excellent videos (and supporting textbook). This course provides a great insight into what is possible with Data Science and how to begin.

By Salvador B S

Jul 30, 2018

The first course of the Data Science Specialization is relatively easy, but reviews and puts in place everything that will be needed in the following courses.

By megan g

Mar 22, 2018

This course is very interactive and user friendly for someone who is not a programmer and has limited programming language experience. I am very happy so far!

By Lalit O

Aug 18, 2017

It was very well explained. proved very helpful for me to understand the basics of what a data scientist needs to know about data, data science and analytics.

By Kathleen H

Dec 18, 2016

Really enjoyed the course and Jeff Leak's clear presentation. Feel ready and excited to go and learn even more about Data Science starting with R Programming

By NATÁLIA G B

Apr 25, 2022

O curso foi bastante intuitivo e de fácil compreensão. Nunca imaginei que eu fosse me adaptar tão bem com a voz automatizada do curso, mas foi bem tranquilo.

By Oscar A H M

Jul 28, 2021

This is the most HANDS-ON course. I love it. I feel that I learn something in every single lesson and those are the skills I want to obtain from a Course.

By Michelle C

Sep 21, 2020

very informative. I was able to grasp the material even though I had no prior background knowledge on the subject. I would definitely recommend this subject.

By Ryan G

Aug 2, 2020

A great intro to setting up R, R studio, and Git, and basic data science courses that allow students to build to more in-depth content in subsequent courses.

By Hemali R

Apr 28, 2020

Gave me confidence to use toolboxes available to work with Data Science problems.

Assignment were not too complicated and I like the way course was conducted.

By Yong H

Oct 14, 2017

As the first course of data science, I feel it is very clear and attracts me to do further study, I cannot wait to continue my journey of data scientist now.

By Pamela U A

Jan 23, 2017

I like how the course is structured. I learned a lot. I was able to set up a github account and download R, R studio and all the tools I need to get started.

By Zachary W

May 3, 2016

Great introduction to the different statistical software packages, Git/Github, intro to data science terminology, and basic command functions to get started.

By Randy A

May 23, 2021

I loved this course. The videos were great and most informative. It was fun. On my way to learning more. Thanks to my great instructors and fellow students.

By Miranda H

Mar 12, 2021

I think this course is a good start point, especially if you're trying to figure out if a career in Data Science is both something you'd enjoy and feasible.

By Worthy H

Oct 20, 2020

I was actually wondering if this is tough since I am also taking online classes from somewhere and still have work, but I think I really needed this course.

By EDUARDO T V

Aug 1, 2020

El curso es muy dinámico, equilibrando bien la exigencia con la motivación para seguir atentamente el desarrollo de los contenidos. Totalmente recomendable.

By Diana M

Dec 13, 2017

This course was a quick and easy introduction to the Data Science Specialization. I am looking forward to taking the other courses related to Data Science.

By fengxinxin

Sep 14, 2022

It is so good for a beginner to get start with R and R programming. Because I have the tools that I need to R programming!! Can't wait to go further in R!

By Fabio N

Aug 31, 2021

Easy to understand and practice. Although I found some challenges especially in week 3, the course motivated me to keep going through a well-taught method.

By Suraj S

Dec 10, 2020

This is an extremely fine drafted course for begginer to data science, it has helped me in putting the stepping stone towards a new dimension to my career.

By Aníbal V O

Aug 21, 2020

Good start in data science, I learned basic principles of R, using RStudio, integration with GitHub and also basic principles of Data Science and Big Data.