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Вернуться к Сбор и сортировка данных

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

4.5
звезд
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

HS

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.

DH

1 февр. 2016 г.

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.

See the videos for general presentation, but use the energy on the excersizes.

Фильтр по:

301–325 из 1,278 отзывов о курсе Сбор и сортировка данных

автор: Vitalii S

20 июля 2017 г.

This course gave me an insights regarding data cleaning. Very grateful, thank you!

автор: Karthic C

17 июля 2017 г.

Well put together course. Happy and eager to finish the rest of the specialization

автор: Thor R

18 янв. 2019 г.

Useful, the course is as much an introduction to R- part 2 as about cleaning data

автор: Raunak S

5 окт. 2018 г.

excellent course to get started with to learn the basic concepts of data tidying.

автор: Sunder R V

27 авг. 2017 г.

Enjoyed the course and learnt quite a few things in my quest for "Data Analytics"

автор: Roberto D

21 июня 2017 г.

Very useful for deciding best methods pulling data and consistently massage data.

автор: Jairo A V G

25 июня 2020 г.

an excellent course that allowed me to expand my knowledge and learn new things.

автор: Premkumar S

27 сент. 2018 г.

Excellent course with some great exercises put together that are very practical.

автор: xiang

31 мар. 2016 г.

Nice one. I would like to have some more information like getting data from API

автор: Waeibrorheem W

12 окт. 2020 г.

It was an amazing learning experience. I really learn so much from this course.

автор: Gustavo d P P

13 сент. 2019 г.

Muito bom!

Aprendi a usar dplyr e agora minha vida se tornou muito mais fácil!!!

автор: Yi-Yang L

8 мар. 2017 г.

Good! Actually I think this course is useful no matter what other people think.

автор: Bruno

4 июня 2016 г.

It's a good course, with right amount of exercises and well explained classes.

автор: Prohnițchi V

2 окт. 2017 г.

Great course. Have learned a lot and discovered powerful tools and approaches.

автор: Matthew

22 февр. 2017 г.

Solid course overall which covers in a high level many data gathering methods.

автор: Bill K

10 февр. 2016 г.

Great course with good lectures and labs. Don't forget the swirl assignments!

автор: Diego A Q

3 июня 2019 г.

Very useful for every day data arrangements and data downloads from Internet.

автор: Siva M

6 дек. 2018 г.

It is great time. The course content was amazing. I learnt lot of new things.

автор: Joseph G N

5 нояб. 2018 г.

The course has amazing exercise in every week. You can learn a lot with them.

автор: Raphael P

23 июня 2018 г.

I started with this course to understand the logic of ordering of the series.

автор: Gustavo P F d X

15 янв. 2017 г.

Wonderful course for those who are keen on expand their knowledge n R skills.

автор: Bruno K

17 февр. 2016 г.

Great course! The course content is very good and the length is appropriated.

автор: Marco M

9 окт. 2020 г.

Really good course! It could be even better with more labs in the beginning.

автор: Scott D

30 дек. 2018 г.

This course is great. The tactical skills in R you really need on the job.

автор: Jessica R

3 апр. 2018 г.

Very useful course on how to prepare data so it can more easily be analyzed.