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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
21,933件の評価
4,407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.

AI

Apr 24, 2018

This course was a good intro especially in setting all the necessary software for future courses. I suggest to read the manuals, books and other readings the profs suggest. The resources are helpful.

フィルター:

The Data Scientist’s Toolbox: 4151 - 4175 / 4,278 レビュー

by Anna D

Mar 04, 2018

It's great to learn how to use GitHub but this hardly qualifies as a course.

by Dennis W

Feb 21, 2016

Very introductory. This material could have been compressed into 1 week.

by Arun R

Jan 07, 2019

Very basic - Did not teach all the necessary things required with Git.

by Hugo R

Sep 29, 2017

Isn't very usefull, I'm impatient to start the R programming courses.

by Neil J

Jun 17, 2016

Extraordinarily basic. Entire thing can be done in about two hours.

by Ng Z J

Mar 18, 2016

Might be useful for total newbies, but this was very simple for me.

by Rose G

Jul 11, 2019

Not that interesting, but gives you the basis to install R and git

by Amir N

Jun 21, 2017

A little bit vague, could use more practice using git and git hub.

by Kristin N

Jun 07, 2016

Jumps around, doesn't put anything into "real world" examples.

by James C

Jan 07, 2018

Very high-level discussion of data science and useful tools.

by Matthew C

Jun 30, 2017

Too easy and doesn't really prepare you for the next course.

by Gustavo M

Dec 30, 2016

Only informative. Not worth it outside the specialization.

by Freddie K

Aug 12, 2016

Very shallow overview, not really a full course I'd say.

by Marek D

Mar 08, 2016

Nice introduction but actually very little content

by Shyam D

Jun 27, 2019

exercises given don't follow the course line

by Rebecca P

Jun 27, 2016

This course is not very "beginner friendly"

by Selina H

Apr 12, 2016

It's more a preview than an actual class.

by Hassan A

Oct 04, 2018

I think it was too long for such content

by Binu E

Apr 05, 2016

This should not be a course of its own.

by Max C

Jun 03, 2016

Too basic, this should just be a read

by xuwei l

Sep 22, 2016

a bit too simple to be a paid course

by Rami A

Mar 29, 2016

Really poor quality of the material.

by Grégoire M

Aug 31, 2017

A little bit too slow and too easy

by Tribs S

Sep 08, 2016

I thought this was very very basic

by Noah P

Mar 09, 2016

Not much substance to this course