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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: 4126 - 4150 / 4,450 レビュー

by Jia Z

May 22, 2016

Not much content for this course, can be done in a few hours.

by Pablo G

May 14, 2016

great content, a little long course for the provided content

by William E

Feb 14, 2016

Very basic if one has already worked with software before.

by Pedro J H M

Nov 06, 2017

A brief and easy introduction.

It should not be mandatory.

by jhalak g

Oct 10, 2017

would like to have more detailed and interactive sessions

by Jacob P

Jul 01, 2019

Seems to be somewhat useless in terms of actual content

by Anandwade N

Feb 25, 2018

give you good basic for data science and tools required

by Joshua K

Jul 05, 2017

Pretty Basic, but helps get you in the swing of things.


Jun 09, 2017

Good for understanding tool and how to work with Github

by Avi C

Jul 20, 2016

Just an intro and learning a bit about Git and Git hub.

by Victoria M

Mar 14, 2016

Doesn't provide a strong enough base for R Programming.

by Anagha J

Feb 07, 2016

Good and basic understanding of terms.

Can be made vast.

by Jay P D

Apr 08, 2020

Just the basic setup... pretty slow but informational.

by Morgan A G

Feb 18, 2018

Very easy, I am unsure if this is a good thing or not.

by Rafael C

Feb 16, 2017

Good course, but worth only for really basic learners.

by Vivek K

Jan 08, 2017

Not really a course, should just be Week 1 in course 2

by Veli-Pekka V

Oct 22, 2016

Covered basic elements of data science and statistics.

by Mauro P

Feb 07, 2018

I would like to see more practical exercises about R

by Zin

Sep 26, 2019

It was helpful in getting to know R and R packages.

by Smit A K

Mar 26, 2019

The entire course can be explained in 2-3 lectures.

by Alaa E D H

Jan 14, 2018

this part is not necessary, keep it optional please

by Juliana C

Sep 25, 2017

Very introductory course, give an overview of tools

by Renata G

Jul 03, 2018

Good course, but lectures are sort of superficial.

by Rob L

Mar 22, 2018

Maybe a good basic intro course, but quite simple.

by Suhas K

Apr 24, 2019

I wish there were more exercises for the project.