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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: 29,845
Рецензии: 6,369

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
14 апр. 2020 г.

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
7 сент. 2017 г.

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:

5051–5075 из 6,228 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Ajendra K N

1 июля 2020 г.

It was nice course. helped me understand statistics.

автор: abdulai

21 янв. 2020 г.

Direct contact and references could have helped more

автор: Mohib I

19 июля 2019 г.

As non beginner it still had useful material for me.

автор: VINOD R

24 янв. 2019 г.

Wonderful course for beginners. And very informative

автор: Christopher R

13 мар. 2018 г.

Great guidance to prepare for the rest of the course

автор: James N

15 дек. 2016 г.

Good course for the basics of R and learning Github.

автор: Alexander J S

16 авг. 2016 г.

A great introduction to tools such as git and GitHub

автор: Tarunesh V

14 янв. 2016 г.

Excellent introduction to the field of Data Science.

автор: Patrick V

20 июля 2020 г.

Computer voice is special missing human intonation.

автор: Chris I

21 сент. 2018 г.

I found this course was very interesting. Thank you

автор: Alexander N J

18 июля 2018 г.

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

автор: Daniel G

7 мая 2018 г.

Great refresher. Will really recommend this course.

автор: CABIOCH N

15 февр. 2018 г.

Simple, concis, efficace

tout est prêt pour attaquer

автор: Supriya S

4 окт. 2017 г.

good course. gives the basic idea on Git and GitHub

автор: Hamayun K

3 авг. 2016 г.

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

автор: Micah R

10 окт. 2020 г.

Jammed pack with how to Git (intentional) started!

автор: Ilia O

29 авг. 2020 г.

Pretty informative, but I think it lacks practice.

автор: Meoseven

23 июня 2020 г.

Great for comprehension, but a little bit shallow.

автор: Johnnery A

27 авг. 2019 г.

Falta algo de detalles de los temas en los vídeos

автор: Chi-hung ( Y

7 июля 2019 г.

This course gave me a comprehensive idea of the R.

автор: Brannon G

28 нояб. 2018 г.

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

автор: Thomas P

2 мар. 2018 г.

Very useful course to start learning Data Science.

автор: adedeji a

22 июня 2017 г.

Nice course for passionate person and focus minded

автор: Margot C A

7 мар. 2017 г.

This is a good overview of the Data Science track.

автор: Nourhan G A H

19 июня 2016 г.

This was a useful & interesting course, Thank you.