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Вернуться к Сбор и сортировка данных

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

Оценки: 7,995

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:

401–425 из 1,296 отзывов о курсе Сбор и сортировка данных

автор: Andrew

27 февр. 2019 г.

Excellent course on using R for getting and cleaning data.

автор: Vebashini N

14 нояб. 2017 г.

Thank you, i learnt a lot and will continue on my journey.

автор: Amy B

4 июня 2017 г.

Excellent class, lectures and assignments matched up well.

автор: Rafael C

4 февр. 2017 г.

Very practical and demanding. That's how you really learn!

автор: Andrew E

28 мар. 2017 г.

Very informative and moderately challenging final project

автор: Silvia J L H

24 янв. 2017 г.

Really good course! It's basic before analyzing the data!

автор: Khaleel u r

27 июня 2019 г.

Exceptional by my instructor of this course , very handy

автор: Aman U

30 янв. 2019 г.

Just Amazing, one should take this course for betterment

автор: Ben H

10 мая 2018 г.

Not the most exciting course but has been so, so useful.

автор: Alfredo A B

21 февр. 2016 г.

Really nice course, practical exercises were very handy.

автор: Dale O J

26 июня 2018 г.

This course was challenging, interesting and essential.

автор: caramirezal

22 июля 2017 г.

Good hand on course to learn manipulating data. Thanks!

автор: Philip A

17 авг. 2016 г.

Excellent course. Challenging but extremely worthwhile.

автор: Chiara M

13 февр. 2016 г.

Very challenging! which makes everything even more fun!

автор: David M

13 июня 2020 г.

very good, the package tidyr and diplyr is very useful

автор: Kevin C

28 февр. 2016 г.

I worked hard, and I learned a lot. This course convin

автор: Giovanni M C V

16 февр. 2016 г.

Excellent course with great didactic. Congratulations!

автор: Emilio I

24 авг. 2022 г.

Excelente, el paquete dplyr, un gran hallazgo para mi

автор: Raphael K

21 сент. 2020 г.

Very good collection and exercises that are on-point.

автор: Olav N

28 июля 2020 г.

More practical examples of the topics would add value

автор: Sebastian R

19 сент. 2017 г.

This course will let you manage your data as you want

автор: Ravindra B A

23 апр. 2017 г.

Very informative.. specifically the 4th week project.

автор: Pieter O

11 янв. 2017 г.

Great course! allowed me to learn a lot of new skills

автор: Stepas L

19 дек. 2016 г.

Loved this course,best so far from all data science .

автор: Weiwei T L

25 мар. 2016 г.

Really helpful on a subject that's not often covered.