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The Data Scientist’s Toolbox(으)로 돌아가기

존스홉킨스대학교의 The Data Scientist’s Toolbox 학습자 리뷰 및 피드백

4.5
20,689개의 평가
4,135개의 리뷰

강좌 소개

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....
하이라이트
Foundational tools
(243개의 검토)
Introductory course
(1056개의 검토)

최상위 리뷰

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.

필터링 기준:

The Data Scientist’s Toolbox의 4,018개 리뷰 중 226~250

교육 기관: Rebecca S

Jul 12, 2018

Great intro to the specilization

교육 기관: Barton T E

Jul 13, 2018

Very useful starting point.

교육 기관: Eric H

Jul 11, 2018

A brief but comprehensive fly-over of the specialisation, topped off with some software previews and installations. Bit of practical hands-on and we're good to go. 1 down 9 to go!

교육 기관: Ji H W

Jul 13, 2018

It was an excellent tool for learning and understanding basic concepts of Data Science overall.

교육 기관: Kimberly H

Jul 12, 2018

Good, short introduction to tools & motivations.

교육 기관: Felipe T F

Jul 17, 2018

Very good introduction

교육 기관: Khoa L A

Aug 16, 2016

Good information, good format.

교육 기관: Micael C

Sep 27, 2016

very good intro to the Data scientist's toolbox.

교육 기관: Mark S

Sep 11, 2016

Very easy but provides the necessary first steps to the DS specialization

교육 기관: Dylan C

Feb 07, 2016

Very basic, but gets you up and running with R, Git, and Github. I was self-taught, so this course was good to consolidate and refresh on the basics.

교육 기관: Fernando A F B

Nov 17, 2016

Really good!

교육 기관: how b s

Feb 26, 2016

A good starting point for beginner.

교육 기관: Venkat n r

Aug 27, 2017

Excellent

교육 기관: Vishal L

Dec 07, 2016

Solid and good introduction to basic tools (R-related) for doing data science.

교육 기관: Kalpak N

Jun 11, 2017

Good introduction to the toolbox and the references for studying more in depth.

교육 기관: Ashley D K

Apr 04, 2018

A great intro to the tools you need (and help setting them up) and the basics of Data Science.

교육 기관: Rimma S

Jan 29, 2016

Great introduction course. It doesn't take too much commitment either, so getting it done will motivate you fore further learning!

교육 기관: Robert M

Aug 17, 2016

Serves as a good overview of the course but not recommended for persons that have some experience performing basic data analytics with git.

교육 기관: Christopher P

Jul 18, 2017

Great intro

교육 기관: Sebastian R

Jul 21, 2017

Great introductory course

교육 기관: Guillaume C

Feb 14, 2016

Good foundational understanding of tools required

교육 기관: Eloy C

Feb 07, 2016

Excelente para entender lo básico sobre el uso de repositorios !

교육 기관: Noor Y N

Nov 02, 2017

The course was helpful as an introduction to the tools/programming softwares and code sharing tools that will be used.

교육 기관: Teofilo C

Nov 08, 2017

Very good

교육 기관: George O O

Nov 07, 2017

Great!