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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: 29,285
Рецензии: 6,230

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

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.

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.

Фильтр по:

4901–4925 из 6,095 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Darien B

Nov 06, 2017

Simple, but the simplicity was helpful in getting started

автор: Carlos S P

Feb 12, 2017

Great course to learn the nuts and bolts of Data Science.

автор: Pablo N B

Jul 26, 2020

¡Buen curso para iniciarse en el mundo del Data Science!

автор: Jeff M

May 08, 2020

Very helpful introductory course for RStudio and GitHub.

автор: Colin S

Jan 26, 2020

A lot of throat clearing, but I feel ready to keep going

автор: Harshal S

Apr 12, 2018

Very good course and useful for Data Science enthusiast.

автор: Alfonso D

Feb 25, 2017

Good introduction. The rest of the speciality is harder.

автор: Jeff N

Oct 19, 2020

Intro to some of the basic tools -- RStudio and Github.

автор: Mohamed R M A I

Sep 26, 2020

Very useful, simple explanation, take you step by step.

автор: Agus P A

Jun 04, 2020

A good course for a first step in learning data science

автор: Naman D D

May 12, 2020

The version did not match and caused a lot of problems.

автор: Salman H

Sep 22, 2018

Good course , it really encouraged me to learn further.

автор: FAN Y

May 31, 2017

Very nice course to lead you into the fooling subjects.

автор: Helene B

Feb 15, 2016

Excellent, but requires a bit more detail for Mac users

автор: Hao W

Aug 01, 2020

It is good. However the git installation is out dated.

автор: Premchand k

May 10, 2020

Very nicely explained and lab exercises also very good

автор: Andrew J

Apr 14, 2020

Not very in depth, but then again, comes as advertised

автор: Chen N

Jan 19, 2019

Very nice and friendly introduction to data science :)

автор: Bill T

Mar 24, 2018

Good quick overview. Looking forward to going deeper.

автор: Rishabh J

Aug 22, 2017

I think the course should have covered more about git.

автор: aaron s

May 27, 2017

Good intro to the field. Can be a bit basic at times.

автор: Andre

Oct 12, 2016

Usefull introduction Course. Course material is clear.

автор: Diego V

Jul 22, 2020

I wish heard a human voice, but I can understand why.

автор: Aaron G Z F

May 22, 2020

Short and clear introduction to R, RStudio and GitHub

автор: Pulkit A

May 09, 2020

The Automated voice makes the course less interesting