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Вернуться к Сбор и сортировка данных

Отзывы учащихся о курсе Сбор и сортировка данных от партнера Университет Джонса Хопкинса

Оценки: 7,929
Рецензии: 1,311

О курсе

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....

Лучшие рецензии


2 мая 2020 г.

This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.


25 окт. 2016 г.

This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.

Фильтр по:

1001–1025 из 1,274 отзывов о курсе Сбор и сортировка данных

автор: Marina V V m

20 дек. 2018 г.

More swirl exercises! They are really helpful

автор: Manny R

10 авг. 2017 г.

Time consuming and Challenging but very good.

автор: Patrick B

19 нояб. 2019 г.

Challenging assignment. Interesting material

автор: Gustavo P

26 сент. 2018 г.

Good course, but se subject, not so mutch...

автор: Alex s

28 дек. 2017 г.

The last project instructions were unclear.

автор: Mehul P

10 сент. 2017 г.

Nice explanation on cleaning data activity.

автор: Niranjan

22 мая 2017 г.

Great course materials!! Great effort!! :-)

автор: Marcos A V

15 мая 2017 г.

I've learned much about reading data in R!

автор: Daren T

8 февр. 2016 г.

was tougher than expected. i learnt a lot!

автор: Chong C F

7 сент. 2016 г.

Well pack, but could have more practice.

автор: Andrew K

9 июня 2019 г.

The class could have better uniformity.

автор: Guillaume H

2 дек. 2016 г.

Useful technics to make things workable

автор: Tharindra P

15 апр. 2020 г.

Great content and hands on experience.

автор: Ada

14 нояб. 2016 г.

Well done. Thanks for a good course.

автор: Lluís G

8 нояб. 2016 г.

Nice set of techniques and methods!

автор: Jehan H

11 янв. 2020 г.

The course has useful information.

автор: John B

10 окт. 2020 г.

Guidance and instruction is good.

автор: Rajib K

26 февр. 2017 г.

need to be crisped, over all good

автор: Paras B

7 апр. 2018 г.

Great course for the beginners!!

автор: Shahrokh N

10 февр. 2018 г.

Nice course and worth taking it.

автор: Hakan S

24 окт. 2020 г.

One of the best of Data Science

автор: Joseph L

15 сент. 2020 г.

Videos weren't detailed enough.

автор: Laurent r

16 мая 2019 г.

Good courses, I learned a lot!

автор: Amanyiraho R

13 янв. 2020 г.

Best data cleaning technique.

автор: Nicholas C

29 мая 2019 г.

Too much outdated content.