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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

4.5
20,673件の評価
4,132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
Introductory course
(1056件のレビュー)
Foundational tools
(243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.

AM

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.

フィルター:

The Data Scientist’s Toolbox: 3726 - 3750 / 4,004 レビュー

by Christopher F

Jun 11, 2018

Content is great for an absolute beginner. For anyone on the intermediate end of the spectrum it will seem very basic.

by James P

May 28, 2016

Later courses are better. This one is quite easy.

by Drake O N

Mar 17, 2017

Good starter setup. Looking forward to the technical portion of the Specialization.

by Oliver K

Oct 20, 2016

Gives a good overview of topics and the specialisation, however is still very basic. I'm looking forward to the next advanced courses

by Yuchen Z

Mar 26, 2016

Only include very basic contents, doesn't need 4 weeks to finish this course. More like a one or two day induction session.

by Tejaswini C

Oct 31, 2017

While this is a good introduction to Data Science and the tools available, it might feel a little too elementary if you have had prior exposure to the subject. The final peer review project could have been a little bit more challenging.

by Ced W

Apr 20, 2016

This is a course to get you set up with all of the tools that you will need to go forward. No hard homework, but you will be ready to work. The intros into various aspects of the curriculum also serve to prepare you mentally for the coming weeks.

by Alejandro S J

May 17, 2016

Good as just an introduction to data science. Some more exercises using Github, maybe some collaborative works would have been nice.

by Morgan D

Apr 19, 2016

Lots of very general review information, not much new stuff. Did force me to start getting familiar with gitHub.

by Antonio M

Dec 05, 2017

I suppose it is ok as a foundation. Otherwise, it doesn't offer much on its own.

by Chris B

Aug 25, 2017

I was a fan but I loathe the fact you cannot review the quizzes.

by 陈辉

Apr 23, 2017

作者没有留下详细的文档,泛泛的介绍很难给人留下印象。对于github的练习稍微有些帮助。

by Diego N L

Sep 23, 2016

concepts were very good but teaching method/material must improve...some of the materials and methods used are too unstable to be useful for professional use...more work should be done by instructors to separate the 'reliable' concepts/info from 'interesting to know but not ready for mass use'

by Sagar D

Jun 20, 2016

Decent for a start. Focuses too much on Github.

by Kevin C

Jul 14, 2016

good

by Pablo G

May 14, 2016

great content, a little long course for the provided content

by Juliana N

May 12, 2016

The instructions for using git and git hub left a lot to be desired.

by Carlos G M

Apr 28, 2017

Puede ser más dinámico y práctico.

by Khoa N

Oct 24, 2016

very helpful but i think it is too short, i need some more concepts to fully understand what these tools used for

by Ryan H

Jun 05, 2017

Easy but not terribly useful

by Jia Z

May 22, 2016

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

by Heyco S

Jun 22, 2016

An easy start ;-)

by Vahid M

Nov 07, 2016

illustration is not enough for the commands. More schematic description could help understanding the course much better.

by Olivier D

Oct 29, 2016

Just an introduction, not so great.

by Marcio H M

Sep 01, 2016

This one is just a warm up for the Data Science Specialization.