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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:

4751–4775 из 6,101 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Abeduddin B

Sep 22, 2020

if live instructor leads the class would be much helpful than auto video

автор: Elizabeth K

Jul 10, 2020

Some quiz questions are a little out of data but overall a great course!

автор: KESHAV P

Apr 18, 2020

SOMETIMES THE COURSE BECOMES VERY BORING .BUT OVERALL A VERY GOOD COURSE

автор: Deena S

Dec 10, 2018

more hands on exercises (not just in the quiz) for Git would be helpful.

автор: Guillaume M

May 02, 2018

very comprehensive and simple introduction to the basics of data science

автор: Chengde W

Jun 13, 2017

Good start for the specialization. Did not like the peer review section.

автор: Felix H

Oct 17, 2020

I liked the emphasis on setting up for collaborative work using GitHub.

автор: Ingrid I S L

Jul 22, 2020

Buen curso, ayuda a conocer diferentes herramientas para manejar datos.

автор: KANHU C P

May 09, 2020

Best suited to beginners. U will get to know many informative concepts.

автор: Shubham R

Jan 16, 2020

More tools should be included in introduction such as python, hive etc.

автор: Alexandre S

Apr 28, 2018

Algumas informações estão desatualizadas o que dificulta o aprendizado.

автор: Mohammad A R B

Mar 26, 2018

This course is an excellent introduction for a Data Science enthusiast.

автор: Daniel J F

Mar 10, 2018

Pretty useful, wish there was more practice build in on using terminal!

автор: Seth L

Sep 21, 2017

A decent overview for anyone interested in what the topic is and isn't.

автор: Karen H A

Aug 18, 2017

Good introduction into the tools needed for understanding Data Science.

автор: Yi-Yang L

Feb 14, 2017

A little bit simple, but maybe it is enough for an introduction course.

автор: Carlos V

Sep 06, 2020

Buen curso, aunque incomoda que todo sea realizado por una voz digital

автор: Alberto H P

May 21, 2020

Claro, fácil de seguir y bien secuenciado. Una buena introducción a R.

автор: Md A H

May 07, 2020

this course is very helpful.i gather many new things from this course.

автор: gabriel h

Aug 24, 2019

Very good course, need a little update but has very easy do understand

автор: Jukka H

Feb 05, 2019

It covered the basics of concepts and tools that Data Scientist needs!

автор: Dolphin L

Sep 13, 2018

A good course. Step by step to create concept for git, github, R tool.

автор: Adit W

Jan 23, 2017

It was a good introduction. Looking forward to the rest of the course.

автор: Vijay S

Oct 21, 2016

Covers the basic effectively.Hope it's useful for the upcoming courses

автор: Mykela G

Jul 15, 2016

This course is a very basic introduction, but I think it is an importa