Chevron Left
The Data Scientist’s Toolbox(으)로 돌아가기

존스홉킨스대학교의 The Data Scientist’s Toolbox 학습자 리뷰 및 피드백

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

최상위 리뷰


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.


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 4,014개 리뷰 중 126~150

교육 기관: krishna k

Jan 08, 2019


교육 기관: JOSE L M C

Jan 20, 2019

The course is very usefull, making clear the principles of data science, and your basic tools. Instructors are also very clear in their explanations.

교육 기관: Ana I

Jan 20, 2019

Great! I was completely new at this kind of work, so it was well explained!

교육 기관: PINTU K

Jan 21, 2019

It is very good course it gives me new idea about data scientist

교육 기관: Sasikanth R E

Jan 21, 2019

Excellent course for Data Science Program and aspirants of the Technology. Periodic assignments and follow up activities would help in mastering the subject of analytics.

교육 기관: Rahul R

Jan 20, 2019

Awesome course. Will help you a lot.

교육 기관: Adithya

Jan 09, 2019

helps me a lot knowing toolbox basics

교육 기관: Shashank k

Jan 10, 2019

very basic course. can be done in 2-3 days if you study 3-4 hours daily.

교육 기관: Jagat R S

Jan 10, 2019

I found git & git-hub tools very helpful.

교육 기관: Dan P

Jan 10, 2019

Basic stuff in a way, but quite enjoyable

교육 기관: Adeyemi O A

Jan 10, 2019

Very good course for beginner in data science

교육 기관: Jaeseong P

Jan 22, 2019

Good teaching, good material

교육 기관: Shivani M

Jan 22, 2019

Wonderful experience !

교육 기관: Laura J G W

Jan 23, 2019

Very insightful and a good place to start by having an understanding of the tools involved in Data Science, looking forward to the next step which is learning R.

교육 기관: Cauan B d S C

Jan 23, 2019

Ótimo curso e com uma extensa bibliografia que deve ser apropriada pelo estudante para se aprofundar mais no assunto. Um começo excelente para quem quer iniciar a carreira como cientista de dados.

교육 기관: Ahmed I M N

Jan 23, 2019

It is great because it discussed the basics.

교육 기관: Dongjin L

Jan 24, 2019

Such as great course

교육 기관: Saeed A J A

Jan 24, 2019

nice course and his tutor

교육 기관: Bryan H

Feb 08, 2019

Great Class

교육 기관: Zakir U S

Feb 08, 2019

Important steps to start. Great Insights.

교육 기관: Deepak S

Feb 09, 2019

Very en-lighting, thank you

교육 기관: Willians B d A

Jan 25, 2019

An introductory view of what is to come and look great, first notes made! Keep up!

교육 기관: yogy f r

Jan 25, 2019

Very cool course

교육 기관: dilek c

Feb 06, 2019

Totally advisable for a beginner

교육 기관: Luis A F C

Feb 20, 2019

This course is essential to initiate SD