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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 4,017개 리뷰 중 176~200

교육 기관: VICTOR K A

Mar 31, 2019

Great Introduction. More Exercise to help us build strong foundation in the course

교육 기관: Fabiano d L S

Apr 14, 2019

Amazing start

교육 기관: Замышляев А Ю

Apr 14, 2019

It was interesting and useful, tnx

교육 기관: Vladislav M

Apr 08, 2019

A great introductory course that requires no prior knowledge is fully in video format and lets you get an overview of what data science is all about.

교육 기관: SOURADEEP T

Apr 09, 2019

Gr8 course for anyone who wants to start data science

교육 기관: SOURAV S

Apr 08, 2019

Very Good Course

교육 기관: Elimane N

Apr 11, 2019

Very good and usefull course!

교육 기관: Magdiel B d N A

Apr 12, 2019

Thats great

교육 기관: Carlos A M O

Mar 13, 2019

Very good course

교육 기관: Igors K

Mar 12, 2019

good tool tips but with some hard to make SSH and pull not working downloaded github desktop and take projects from RStudio and pull, using github desktop maybe add some tips for this program because to some person it will help like me, every have diferent PC and language.(Searched google every writing about some space not about solving problem)

교육 기관: KULDEEP S

Mar 13, 2019

still required in depth concept about github.

교육 기관: Moshfiqur R

Mar 13, 2019

excellent.... course to enter data arena....

교육 기관: Ashwin S M R

Mar 12, 2019

Real good start to the Data Science Specialization

교육 기관: Ryan M

Mar 04, 2019

Excellent introduction course.

교육 기관: Frank Z

Mar 03, 2019

Jelly good

교육 기관: Mandar G

Mar 04, 2019

very good course

교육 기관: Anatoli K

Mar 14, 2019

Интересно было посмотреть как работает один из лучших исследовательских университетов мира.

Кроме настройки программного обеспечения много узнал об основных принципах науки о данных.

Очень понравился пример с Хилари Клинтон. Возможно это был роковой момент в её поражении.

교육 기관: Ross D

Mar 13, 2019

I was already familiar with R and RStudio and found the portion on using Git/GitHub particularly helpful.

교육 기관: Izhar A

Mar 14, 2019

good content.

To the point

교육 기관: Anthony H

Mar 13, 2019

The course offers a practical and simple explanation about introduction into Data Science

교육 기관: Robert

Mar 06, 2019

After this course I have knowledge of the tooling I need for practicing data science.

교육 기관: SHAIKH F A

Mar 06, 2019

EXCELLENT AND AWESOME WAY TO EXPLAIN

교육 기관: Alfredo L .

Mar 07, 2019

for me, it was an excellent and practical course, to learn softly from the ground up.

교육 기관: Prateek S

Mar 07, 2019

This is really an awesome course for a basic introduction to data science.

교육 기관: Mahmoud S A D

Mar 09, 2019

Excellent Course with simple and informative materials

the educational process very helpful and the approach to build the knowledge and skill is remarkable