Chevron Left
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:

276–300 из 1,274 отзывов о курсе Сбор и сортировка данных

автор: Rimi Z

22 июня 2018 г.

A great course and you learn exactly what the title says . I found it fun to work on It

автор: Tine M

14 нояб. 2017 г.

Great course, I've learned a lot about analyzing data sets and creating tidy data sets.

автор: Robert K

1 мая 2017 г.

Fantastic! I find myself using the information I learned in the class on a daily basis.

автор: Boris B

6 февр. 2016 г.

Great Course if want to know what data really is and how to handle it in the right way.

автор: Maxim S

26 авг. 2020 г.

Thanks, this course was great. It gave me enough knowledge and motivation to go forth.

автор: Alia E

27 февр. 2017 г.

Wasn't excited about it. But I've used and re-used the materials for work. Good stuff.

автор: Tseliso M

2 февр. 2017 г.

Of the courses I have done so far in the specialization, this was the most practical.

автор: Carlos M

2 февр. 2016 г.

Very interesting material and basic knowledge on R to read files and produce tidy data

автор: GAGAN G

14 окт. 2020 г.

Very nice courses in coursera and fundamental concept are very helping for us. Clear.

автор: Tomas M

22 авг. 2017 г.

Excellent course mates! Lots & lots of very useful info & examples! Thanks so much!!!

автор: Dmytro I

15 мая 2017 г.

It's a great course, however, explanations to the final assignment were rather vague.

автор: sambit c

12 окт. 2016 г.

A great course. Learned a lot. However student has to put an extra effort practicing.

автор: Kseniia K

3 мая 2016 г.

Great course, more difficult than previous two, but also more challenging and useful!

автор: Wang J

1 мая 2016 г.

Great practice for R programming and the MySQL part is extremely helpful for my work.

автор: leo n

8 авг. 2019 г.

This is the best course so far. Very challenging project at the end. I learned a lot

автор: Jorge A B J

25 июля 2019 г.

Very nice course! Would defensively recommend to anyone seeking this specialization!

автор: Puja G

6 февр. 2018 г.

Very useful to get hands on experience in data science to solve real world problems!

автор: Stephen A

3 окт. 2020 г.

This course gives all necessary foundations to kick start getting and cleaning data

автор: Abay J

20 янв. 2019 г.

Love quizzes and a course project. Working on them develops you as a data scientist

автор: Ajendra S

29 авг. 2018 г.

I really liked this course. This course helped me to understand the data wrangling.

автор: Tiago P F

3 янв. 2018 г.

Excellent course, with a very important focus on documentation and code versioning.

автор: jutzhang

26 июня 2016 г.


Please update the using methods of some functions in this lecture.

автор: Andaru

12 февр. 2016 г.

90% of data science is cleaning, this really gets people accepting that key concept

автор: Luz M S G

29 авг. 2020 г.

It was an excellent course. It was challenging but I enjoyed it and learnt a lot.

автор: Vitalii S

20 июля 2017 г.

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