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Вернуться к Сбор и сортировка данных

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

Оценки: 7,930
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.


1 февр. 2016 г.

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.

Фильтр по:

351–375 из 1,274 отзывов о курсе Сбор и сортировка данных

автор: Filipe M d L

19 июня 2020 г.

Besides the problem with some missing links, the content is excellent.

автор: Siria S

8 февр. 2018 г.

Nice, course. I learn a lot of skills I need for my job and university

автор: Jhon A P J

8 дек. 2016 г.

Excellent course, I would like to see more content about cleaning data

автор: Rose G

31 мар. 2020 г.

Everything was new for me in this course, so I loved learning so much

автор: Ussia N

9 июля 2019 г.

Equiping me with the skills for my data science career...excellent !!

автор: jagadeesh p

20 февр. 2019 г.

The course material is helpful enough to deploy skills in my research

автор: 20e

16 нояб. 2017 г.

learning a lot! And my post in the forum got helpful reply very soon!

автор: ajay s

17 окт. 2017 г.

Great course to get started on a career track to be a data scientist.

автор: Atman B

1 апр. 2019 г.

This course is one important step towards becoming a Data Scientist.

автор: Ji H W

31 июля 2018 г.

Great lecture and help understanding concepts throughout the lecture

автор: Juan C L T

13 окт. 2017 г.

great course, very useful and insightful; challenging final project.

автор: Dhrubajyoti M

16 мая 2017 г.

Course material is good, assignment is better, mentors are the best!

автор: Осипов К Ю

21 янв. 2020 г.

Perfect practical course! I got a lot of good practices and skills!

автор: Bojan B

14 окт. 2018 г.

Great course with great materials. Easy to understand and to learn.

автор: Dr. B M

17 янв. 2022 г.

Excellent course. This course is seriously exciting throughout !!!

автор: antonio q

19 дек. 2017 г.

very clear, many examples and good exercise, assignments

thank you

автор: Emily K

9 нояб. 2017 г.

Should be before the 'R Programming' course - eases you in nicely.

автор: Jesus L S

24 окт. 2016 г.

a must have course before applying any math model to our data! :-)

автор: Christophe K

10 февр. 2020 г.

Very good course and first real challenge in this specialization.

автор: Wellintton P

12 мар. 2018 г.

great class for anyone learning the R language and data analytics

автор: Himanshu S

28 дек. 2017 г.

Really good for folks, who wants to learn data manipulations in R

автор: Channaveer P

23 июля 2017 г.

Good one.... teaches you good skills to handle data and stress :)

автор: Shuo C

21 февр. 2018 г.

This whole specialization is very informative! Highly recommend!

автор: Andreina D S

9 апр. 2019 г.

Muy interesante, bastante información y todo muy bien explicado

автор: Ayesha P

22 янв. 2018 г.

Thank you very much for letting me do this course. Learned alot