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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

4.6
26,447件の評価
5,516件のレビュー

コースについて

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....
ハイライト
Foundational tools
(243件のレビュー)
Introductory course
(1056件のレビュー)

人気のレビュー

LR

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.

SF

Apr 15, 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.

フィルター:

The Data Scientist’s Toolbox: 4051 - 4075 / 5,399 レビュー

by soumyadeep B

Jun 07, 2018

It would be helpful if the courses on git are explained in a bit more detail

Thank You :)

by Deepti T

Apr 06, 2017

Very Good for basic understanding of Data Science and the tools used by Data Scientists.

by Cassandra S

May 26, 2016

Straightforward, interesting, and easy to follow. I wish it were a bit more challenging.

by Sara H

Nov 24, 2018

Gitbash is a little challenging, but Googling questions is helpful for troubleshooting.

by Ajendra S

Apr 05, 2018

Very basic stuff. Creator only focused on creating environment of the upcoming courses.

by Navroop K

Mar 17, 2018

A good introduction to the tools. Assignments are very helpful in learning the concepts

by Parker C

Oct 25, 2017

It was pretty easy, but essential to the rest of the specialty so I think it was great.

by Ahuitz R

Sep 09, 2017

Indispensable if you don't know anything about R or data analysis, skippable if you do.

by Swagatam M

Apr 01, 2017

Great course, you get to learn about the tools used in the Data Science specialisation.

by Joe K

Oct 07, 2019

Great! Nice foundation to help move forward in the Data Science by JHU specialization.

by Ryan L

Sep 16, 2019

Increase the default pacing. Recommending 4 weeks to install software is too generous.

by Pravinkumar C

Nov 21, 2018

Very basic course and that was how we should start learning the ocean of data science.

by Lee Y L R

May 24, 2018

Important course and introduction to the various tools for an aspiring data scientist.

by Joseph D

May 26, 2016

I ran into a few unexplained issues with final project but a very good course overall.

by Frank N

Mar 27, 2016

Very basic survey and mostly just setting up software, but confidence-boosting and fun

by Zee

Jun 27, 2020

A very good introducton to the tools, but the GitHub tutorials could use few updates.

by HanWang

Nov 27, 2019

The course is helpful, and material is well receivable. But not a fan to robot voice.

by Zhou Y

Mar 18, 2018

It is a wonderful introduction, and gives me a clear view of the track of the course.

by Jonathan A

Sep 19, 2016

Pretty good. Some lectures were good, a couple seemed rushed. Covered the basics OK.

by Alec k

Aug 22, 2016

Just an introduction course but helpful in setting up the rest of the specialization.

by Ming

May 06, 2016

Experimental Design is very great. Other contents are just fundamental for beginners.

by PUJITH R V

May 30, 2020

it gives you the basic understanding or lays down a foundation for the later courses

by Jaya S

Apr 21, 2020

Know i am done with toolbox and looking forward to complete full data science course

by Gabriel E B

Apr 14, 2020

It's the basic introduction to all the tools you will use for the Data Science Spec.

by Tejas B

Sep 30, 2019

Great Into course! It's always good to get the basics right before the greasy stuff!