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The Data Scientist’s Toolbox(으)로 돌아가기

존스홉킨스대학교의 The Data Scientist’s Toolbox 학습자 리뷰 및 피드백

4.6
별점
26,614개의 평가
5,543개의 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

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.

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.

필터링 기준:

The Data Scientist’s Toolbox의 5,426개 리뷰 중 5026~5050

교육 기관: Calvin K

Feb 26, 2016

It's way to easy to be a separate course. It should be part of R Programming.

교육 기관: André F A

May 28, 2020

Conteúdo é bom, mas o fato de ser dado por um robô torna a experiência ruim.

교육 기관: Marc m

Nov 10, 2019

This first toolbox module is all about setting up. Not much programming yet.

교육 기관: Charlie R

Jul 03, 2018

Decent overview, gave me some things to google. No real substance as of yet.

교육 기관: Amr A

Jun 16, 2017

I think this course needs to be much better in terms of adding more material

교육 기관: Doug W

Dec 29, 2016

Good overview. Helpful introduction to topics covered in the specialization.

교육 기관: Nikolai K

Nov 06, 2017

A good Introductory lesson, but for advanced students it is not nessesarry!

교육 기관: Divyansh M T

Jul 28, 2017

Very insubstantial, in terms of material. Much more can be done in 4 weeks.

교육 기관: Mamar H

Jun 25, 2016

A little bite long regarding the concepts number developped in this course.

교육 기관: Ian W

Aug 30, 2017

Easy course. Everything covered in this course can be found easily online.

교육 기관: Mohamed A E M

Jun 20, 2017

Nice introduction but not many new ideas i had recive, but thank you team.

교육 기관: Hamza T

Aug 09, 2016

A great course. But I still think there is a lot of room for improvement.

교육 기관: MEHEDI H

Jul 01, 2020

Need more friendly lecture, that's why we can understand topics easily..

교육 기관: Vishesh k

Jun 16, 2018

Sound quality for every lecture is very disappointing ,very poor quality

교육 기관: Abhey K

May 27, 2017

A good introduction to data science and the associated issues around it.

교육 기관: Perruchoud A

Aug 13, 2016

Extremely useful info, but the material is too shallow to be satisfying.

교육 기관: Daniel R

Feb 07, 2016

It is a good course, however, I would have liked deeper knowledge in git

교육 기관: caio l

Sep 12, 2017

Really basic, it's only necessary if you have no knowledge in the area.

교육 기관: Mitchell S G

Nov 12, 2016

Audio on videos was sometimes unclear. Course content was interesting.

교육 기관: Nate D S

Jun 26, 2017

Mostly auditory discussion of concepts. Not so much visual or hands-on

교육 기관: Aditya C

Jan 05, 2019

Very basic...One must do the entire specialization to make any sense.

교육 기관: Rupert

Aug 31, 2017

Very basic. Probably unnecessary for anyone with some experience in R

교육 기관: isha v

Aug 12, 2017

Please include some optional Quizzes/Assignments also for practising.

교육 기관: Prasen M

Apr 17, 2017

Very basic introductory course. Looking forward to the other modules.

교육 기관: Juliana N

May 12, 2016

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