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Вернуться к Набор инструментальных средств для специалистов по обработке данных

Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 29,265
Рецензии: 6,226

О курсе

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....
Основные моменты
Foundational tools
(рецензий: 243)
Introductory course
(рецензий: 1056)

Лучшие рецензии

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.

Фильтр по:

4926–4950 из 6,091 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Marco D

Sep 20, 2017

Great introduction but it made me want to learn more.

автор: Ning X

Mar 30, 2017

More code and figure would be good for understanding.

автор: Jean-Yves A

Mar 07, 2017

Good intro to basic tools. Would like more exercises.

автор: Yan J

Jan 20, 2017

This course did give me some useful tool information.

автор: Christopher B

Jan 03, 2017

A good checklist for the basic tools of data science.

автор: Deleted A

Oct 22, 2016

I felt I learn some basics but nothing new or indepth

автор: JP B

May 08, 2016

Good introduction. Good to learn the way it works....

автор: Nancy W

Apr 12, 2016

It's a good start to the data science specialization.

автор: Ajendra K N

Jul 01, 2020

It was nice course. helped me understand statistics.

автор: abdulai

Jan 22, 2020

Direct contact and references could have helped more

автор: Mohib I

Jul 19, 2019

As non beginner it still had useful material for me.

автор: VINOD R

Jan 24, 2019

Wonderful course for beginners. And very informative

автор: Christopher R

Mar 13, 2018

Great guidance to prepare for the rest of the course

автор: James N

Dec 15, 2016

Good course for the basics of R and learning Github.

автор: Alexander J S

Aug 16, 2016

A great introduction to tools such as git and GitHub

автор: Tarunesh V

Jan 14, 2016

Excellent introduction to the field of Data Science.

автор: Patrick V

Jul 20, 2020

Computer voice is special missing human intonation.

автор: Chris I

Sep 21, 2018

I found this course was very interesting. Thank you

автор: Alexander N J

Jul 18, 2018

It is a good setup course. I didn't learn a bunch.

автор: Daniel G

May 07, 2018

Great refresher. Will really recommend this course.

автор: CABIOCH N

Feb 15, 2018

Simple, concis, efficace

tout est prêt pour attaquer

автор: Supriya S

Oct 04, 2017

good course. gives the basic idea on Git and GitHub

автор: Hamayun K

Aug 03, 2016

I liked the course, it was simple and to the point.

автор: Micah R

Oct 10, 2020

Jammed pack with how to Git (intentional) started!

автор: Ilia O

Aug 29, 2020

Pretty informative, but I think it lacks practice.