Chevron Left
The Data Scientist’s Toolbox に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による The Data Scientist’s Toolbox の受講者のレビューおよびフィードバック



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....
Foundational tools
Introductory course



Sep 08, 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.


Jul 22, 2017

Great Primer for what Data Science is about. It also provides the infrastructure of tools needed. This was what I was after, a way to provide other data scientist hardware and infrastructure support.


The Data Scientist’s Toolbox: 251 - 275 / 4,409 レビュー

by Bibhu A P

Apr 02, 2019

This course is a primer on setting up the various environment required for learning Data science with R language. You can expect to learn the basics of Git and Github. R and R studio.


Feb 20, 2018

Absolutely fantastic way to start off a data science course. You dont need to be a techie for this, just common sense and you are all set. Cant wait to start the R Programming course.

by Jennifer C

Jun 27, 2017

After completing the course 1, I feel less fear to get on this field. The course explained the foundation of the data science is. It made me more comfortable to continue the course.

by David R

Sep 03, 2019

Excellent course giving a high level view of Data Science and the tools that will be used in the course. The AI instructor voice is a bit weird but you get used to it pretty quickly.

by Diego A Q

Jun 18, 2019

A great introduction to data science and also to the R Studio environment. R Studio is going to be very used through this specialization, so it is very useful to be familiar with it.

by Thiago

Jun 04, 2019

Leveling course to start in the discipline of data science very interesting. It contextualizes in a simple and objective way the necessary tools and environment for a data scientist.

by kelly s

Oct 20, 2017

Great Introduction to the tool's we'll need. I like it as a separate class rather than trying to get new tools to work or obtain new material on a timeline during the other classes.

by Paula C

Jun 21, 2016

Course teaches how to acquire the tools necessary to complete the Data Science specialization. Explanations were clear, and quizzes and assignments were straightforward to complete.

by Camilo A A

Jun 22, 2016

Es un excelente y necesario curso. Nos da luces sobre las herramientas que deberíamos usar para optimizar nuestro trabajo (en Big Data) tanto a nivel individual como colaborativo.

by Dean E

Jan 25, 2016

Don't just rely on the lectures. Use this course to introduce you to a bunch of tools that you'll need when doing data science, and then go study these tools in depth on your own.

by Eric H

Jul 11, 2018

A brief but comprehensive fly-over of the specialisation, topped off with some software previews and installations. Bit of practical hands-on and we're good to go. 1 down 9 to go!

by Adedoyin O

Mar 24, 2018

This course was a very good intro to Data science for someone coming from a background with little coding experience. The instructors were engaging and assignments were practical.

by Pouria T

Oct 27, 2016

I had so much fun learning from this course. I think this course has been constructively laid out and the quality of the presented materials are at it best for such a vital field.

by paomogu

Dec 31, 2017

This course is very good for somebody who don't have any experience for data handling.I think it gives me much help to let me go another step further in the road of data science.

by Sean O

Mar 12, 2017

Good course, but maybe this course and the following course R programming could be combined into an 8 weeks course as that one is took longer than 4 weeks and this one took less.

by Lisa A

Jul 10, 2016

A great little course, quite basic but very informative if you - like me - do not have a lot of knowledge on the subject. It can be taken in a day if you have some time to spare.

by Zain K

Feb 08, 2016

This course was a great start. It was simple enough to follow, I guess the real deal is in future courses. Definitely leaves a good impression for the rest of the specialization!

by Zhiming H

Feb 27, 2020

Overall, a very nice introduction to the basic concepts. Although I've worked with R before, there were still things that I've never heard before (mainly Github and R Markdown).

by Lauri G

Dec 20, 2018

While this course is basic, it tells everything you need for the following ones. I'd add some more Git basics (other than read their documentation which is indeed a good point).

by mayank t

Oct 20, 2016

awesome course for learning data science and R.It is really helpful for beginners who wanna start or learn data science.Recommended for anyone who knows basic programming ideas.

by ColdCrush24

May 25, 2019

Class was cool. I have meaning to learn how to use git, github etc. I think version control is very valuable. That is definitely the thing that I got most out of this course.

by N S C R

Mar 09, 2019

This course helps to understand the usage of R with RStudio and Git integration with RStudio.

I Recommend this course to all those aspirants who are moving towards Data Science.

by Rushil K

Mar 04, 2018

Everrything is good but how do I access some links in the video. The PDF files I download, also don't seem to have it. Unless it is a problem with my adobe reader - let me know

by Solange M T Y

Nov 15, 2017

I liked very much, brought lots of information according to Data Science. Thanks! I appreciate a lot the first course and preparing myself to participate of the others courses.

by Connor H

Sep 18, 2017

Maybe a little slow if you already have some technical exposure, but pretty straight forward and easy to follow if you don't. A well balanced class in my not so humble opinion.