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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
22,377件の評価
4,509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.

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: 3951 - 3975 / 4,382 レビュー

by Jad A

Nov 14, 2016

Quite basic - but good overview of general theory. Don't do this on its own, it's quite useless as a standalone module

by fares a

Sep 08, 2017

its just an introduction to R please make it more explanation to R even if there course about it

and thanks very much

by Lucas P

Apr 04, 2016

The course accomplished its goal. Nevertheless, since it is a paid course I expected to find more theoretical content

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 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 Aditya K R

Mar 03, 2019

Super basic and boring stuff. Mostly talks about R Studio and GIT. Not of much help to those with IT experience.

by Ahmad A

Oct 07, 2018

the voice is too low and the level of instructing are not for beginners, but with a lot of effort you could pass

by Rafael T M

Apr 07, 2019

Very introductive. I hoped more about this course. There are interesting stuff but I'd rather more work volume.

by Sérgio M C d A C

Jan 16, 2017

Github exposition is a little complicated. I believe it could be more detailed. But the rest is very well done!

by Deleted A

Dec 29, 2016

Doing this course first doesn t make you anticipate how difficult could this speciality in the next courses :p

by PATHIK C

Oct 13, 2016

There is practically nothing in this course to learn. It can be termed as a introduction to the specialization

by Andrey T

Sep 06, 2016

The course is too easy to be called a course. Just an easy intro, which you can complete in a couple of days.

by Tamir L

Jul 25, 2016

Very short, easy and introductory course. Gives a nice high altitude overview of the subject but little else.

by James M

Feb 24, 2016

Not useful by itself, but grudgingly necessary to get you ready for subsequent courses in the specialization.

by Aritra D

Jul 24, 2019

A little more depth on R and R studio and the rest and more data driven projects would have been appreciated

by Leyla C

Feb 24, 2020

Easy introduction into R, maybe a bit too slow though. Course name is a bit misleading and not informative.

by Roman K

Oct 10, 2017

The first 2 lectures (overview/introduction) are pretty good. The tools/practical material is very trivial.

by Bill S

Apr 12, 2017

Mostly preparatory material and setup activities for the rest of the series. It's OK, but not a revelation.

by Shawn O

May 28, 2016

Could be completed in a single day but spread across 4 weeks. I could understand a week but 4 seems silly.

by shrestha p

Jan 18, 2020

It was great to know new terms and tools used in data science. However, the course is mostly theoretical.

by Jensen K

Feb 08, 2016

Needed a step-by-step information sheet about what R Software and Tools need to be downloaded with links.

by Simin X

May 06, 2017

It's only enter-level for people who don't know R. For those who already used R, it's not a good choice.

by John J O G

Oct 28, 2016

Buen tema y contenido pero muy resumido o simplificado, se debería ampliar mas la 4 semana como mínimo.

by Abdullah M

Dec 11, 2019

Good course for supporting the rest of the specialization. However, it has very little use on its own.

by M S G

Feb 03, 2019

Would have loved it even more if there was an in-depth explanation of how to use GitHub using Git bash