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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: 28,762
Рецензии: 6,093

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:

4826–4850 из 5,962 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

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: Ilia O

Aug 29, 2020

Pretty informative, but I think it lacks practice.

автор: Meoseven

Jun 23, 2020

Great for comprehension, but a little bit shallow.

автор: Johnnery A

Aug 28, 2019

Falta algo de detalles de los temas en los vídeos

автор: Chi-hung ( Y

Jul 07, 2019

This course gave me a comprehensive idea of the R.

автор: Brannon G

Nov 28, 2018

A bit simple, but it's intended as an introduction

автор: Thomas P

Mar 02, 2018

Very useful course to start learning Data Science.

автор: adedeji a

Jun 22, 2017

Nice course for passionate person and focus minded

автор: Margot C A

Mar 08, 2017

This is a good overview of the Data Science track.

автор: Nourhan G A H

Jun 19, 2016

This was a useful & interesting course, Thank you.