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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: 30,915
Рецензии: 6,590

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:

4976–5000 из 6,446 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: Kyle H

20 нояб. 2017 г.

Nice simple introduction to the tools the reset of the specialization will require.

автор: Blazej M

18 окт. 2017 г.

Very very basic... Good for someone without any prior experience with R or Rstudio.

автор: Peter Y

15 мар. 2017 г.

Audio level is too low and not balance, ever worser then udemy, please fix it asap.

автор: Omar M

21 апр. 2020 г.

good enough for a kick start with r studio and understanding what is data science.

автор: Xinyue N

15 февр. 2018 г.

It is a good course for you to understand some basic information of data analysis.

автор: Gokulnath K S

18 окт. 2017 г.

Nice course to start as it gives a grasp of everything that we are going to learn.

автор: Raheem H

1 авг. 2017 г.

Good introduction to software, and some basic principles, needed for Data Science.

автор: Roberto S B

20 июля 2017 г.

well explained but no interaction. Also, slides are old and not always downloable.

автор: Shanti C

6 нояб. 2016 г.

This was a good basic overview and orientation for the rest of the specialization.

автор: Nana B

30 сент. 2020 г.

The audio version isn't working for me but all the same good course for beginners

автор: ibrahim m

8 окт. 2016 г.

Great course! well paced and timing appropriate. Quizes reflected taught lessons.

автор: Tyler M

7 февр. 2016 г.

Pretty easy, but totally necessary information needed to continue down the track.

автор: Yu-jong T

13 нояб. 2020 г.

A lot misc useful materials. Nice to know but may find boring until you need it.

автор: Wendy P

2 нояб. 2020 г.

I would have liked to listen videos from a real person not from a machine voice.

автор: Rone F A d S

13 июля 2020 г.

Nice course with great examples.

Was just expecting more animation on the scream.

автор: Patrick T N

25 сент. 2019 г.

Good basic foundation for learning how to use online resources like git & github

автор: Vikas C

8 мая 2019 г.

The voice of the computer can be improved which will make the experience better.

автор: Suzanne H

26 дек. 2018 г.

Good introductory course, requires other courses to really get your teeth into R

автор: Kumaravelu N

12 авг. 2018 г.

Unable to continue with my next chapter though i have completed my previous one.

автор: Harraj S S

13 июля 2017 г.

Very nicely presented... easy for a newbie like me too.

Thank you for the effort.

автор: Debanshu K

27 мая 2017 г.

This was superb in order to create a basic understanding regarding data science.

автор: William I

25 сент. 2016 г.

A solid course to kick off the specialization, but not worth taking on it's own.

автор: Boris B

13 февр. 2016 г.

I would expect some more methodological material,\though everything else is fine

автор: Natalie

14 сент. 2020 г.

Tuve problemas con Markdown, pero todo lo demás lo pude solucionar directamente

автор: Abdou k a

26 апр. 2020 г.

The Course is very Good but requires more details during the practical examples