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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: 31,527
Рецензии: 6,698

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
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.

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.

Фильтр по:

5076–5100 из 6,553 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

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

9 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

автор: Albert P

23 июля 2019 г.

It's fairly basic. Completed the whole course in 1 sitting in about 4-5 hours.

автор: CJ L

20 апр. 2018 г.

It is a good start with good background info of resources in data science field

автор: Rojbin L

23 нояб. 2017 г.

More practical exercises please! Thank you for offering such a valuable course.

автор: ying2017

27 июля 2017 г.

good course somehow a little hard for those who are not native english speakers

автор: Adya M

17 апр. 2017 г.

Elaborate introduction to the data science arsenal of tools. Thank you so much.

автор: Oskar L

10 апр. 2017 г.

Good introduction to the Data Science and the courses provided here in Coursera

автор: NUH K

4 февр. 2021 г.

Only a few videos were not well-scripted, the rest of the course was adequate.

автор: Caitlin M

13 дек. 2020 г.

I am a total novice and I am amazed that I was able to learn from this course!

автор: THOTAKURA B

1 сент. 2020 г.

Overall course is good but please decrease the communication speed of lecture.

автор: Jinghui Z

9 дек. 2019 г.

Course can go quicker, the content is useful but it is too little for one week

автор: Jahnavi T V

21 авг. 2019 г.

I really feel the entire course is explained so thoroughly for the beginners .