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Вернуться к Сбор и сортировка данных

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

Оценки: 7,940

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.

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326–350 из 1,278 отзывов о курсе Сбор и сортировка данных

автор: 吴昊

3 мар. 2018 г.

Very helpful source. Introduce the basic and important concept of tidy data.

автор: 杜冈桃

7 сент. 2017 г.

Coursera is very practical and I am ready to continue to study more courses.

автор: Catharine

16 мар. 2017 г.

Very helpful and practical course to learn about data sourcing and cleaning.

автор: Juan C P A

28 мар. 2016 г.

Recommended for all who want to manage their data and not be handled by them

автор: Jeff D

10 окт. 2020 г.

This a great course especially for a beginner like me. Thank you very much.

автор: Eswara K

4 июня 2020 г.

Great course. Only nitpick is that the volume of data to work with is huge.

автор: Mevluet P

26 мая 2020 г.

It is a very good course. It is my reference page and course about using R.

автор: Michael D

22 мая 2020 г.

Provides great foundational knowledge of building usable data objects in R.

автор: Jesson P

30 сент. 2018 г.

This course taught me the importance of tidying data suitable for analysis.

автор: Leonard P

30 нояб. 2020 г.

Exceptional course with a steep learning curve, But it's totally worth it.

автор: Mahmoud E

1 окт. 2018 г.

This course gives a great insight on how capable and versatile R language.

автор: Jamie M

6 июля 2018 г.

Excellent once again. I'm running out of superlatives. Great job Coursera.


10 сент. 2017 г.

Very good for anyone wanting to get into the field of Data Science using R

автор: harshdeep k

29 авг. 2016 г.

Learning how to create a tidy Data set was one of the perks in this course

автор: Arturo P

10 дек. 2020 г.

Excellent course, really good for managing messy data. Fully recommended!

автор: Jean P L

26 янв. 2016 г.

It's awesome. Very difficult, challenging, and lots of stuff to be learnt

автор: Filip Z

11 сент. 2020 г.

Great course. I learned what i wanted to learn in a very convenient way.

автор: 陈颐欢

23 апр. 2018 г.

Very useful class for someone like me who be a beginner of data science

автор: Keith L

2 июня 2017 г.

I learned a lot from this course and can see its practical applications.

автор: Diana S

11 февр. 2016 г.

Thank you son much!!!!

I really like the course.

It help me in my job =)

автор: Bushra W

3 мая 2019 г.

Coursera gives me the flexibility I need to take courses on my own time

автор: Hathairat W

9 февр. 2019 г.

A very Important course for working with R and data science in general.

автор: Omkar P

10 июня 2016 г.

Great module with hands on practicals !!!!! help to build confidence...

автор: 王婷婷

21 мар. 2016 г.

good, i need more pratice by myself and i haven't read the book yet :-)

автор: David E C G

16 сент. 2020 г.

Great, the final assignment is challenging and I learn a lot with this