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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
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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

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.

BE

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:

251–275 из 1,274 отзывов о курсе Сбор и сортировка данных

автор: Keidzh S

12 мар. 2018 г.

This course is absolutely fantstic education. More practice tasks will make it better in my opinion.

автор: Quiniou C

16 сент. 2017 г.

This course is very interesting, we are starting to work on how to transform dataset into tidy data.

автор: Rohit A

12 июня 2019 г.

Nice course to understand the deep insight in understanding the concept of the data cleaning in R.

автор: Asif M A

18 апр. 2016 г.

A good start for data science course. It is very essential to cleanse data before start analyzing.

автор: Admet Z

7 нояб. 2017 г.

It was a bit harder, than Course 2 but still I was able to finish it and want to learn even more.

автор: Sravan K

28 мая 2017 г.

It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera

автор: Sreedharrao R

6 февр. 2016 г.

Nitty gritty of organizing the data in to a form where it can be used for more complex analysis.

автор: Rosane H G

7 сент. 2020 г.

Very good and hands-on course for those willing to work with database construction and analysis.

автор: juan p d

15 мая 2016 г.

i apprecciate the learning by doing and the lot of support that the staff and classmates provide

автор: Manuel M M

9 сент. 2019 г.

Very practical and useful. I really enjoyed doing the test and learning a lot of R programming

автор: Sérgio A V G P

6 июня 2016 г.

Excelent course. It is a great oportunity to develop the aknowkedge in R and System analysis.

автор: Hector M

19 мая 2016 г.

Great way to exercise and practice something that is often neglected in data science courses.

автор: Alfonso L

19 мар. 2020 г.

Need to take some time to learn. A lot of stuff in so short period of time but really worthy

автор: Hariharan D

13 июля 2017 г.

Excellent course. Interesting to learn through this experiential hands-on pedagogy approach.

автор: Rodrigo C

11 окт. 2017 г.

Se enseña el uso de herramientas muy útiles a la hora de transformar raw data en tidy data.

автор: Jhon A R G

3 авг. 2020 г.

Es un curso que no se hace pesado, ya que se explican las temáticas con mucha naturalidad.

автор: Thiago M

12 авг. 2019 г.

Course material and projects help a lot in learning and improving data analysis techniques

автор: José E T

5 авг. 2017 г.

Very good course. Taught at the correct depth. He added a lot of knowledge to my training.

автор: Eric F

6 нояб. 2016 г.

Excellent cours pour la mise en œuvre de méthodes robustes sur la préparation des données.

автор: Gayathri N

7 мая 2020 г.

Good course that helped to get the skill of reading and different ways to work with Data.

автор: Сетдеков К Р

27 сент. 2018 г.

Helped a lot form my understanding of a good workflow for data collection and processing.

автор: Lee W

4 окт. 2017 г.

Great course to introduce you to the various methods of loading and processing data in R.

автор: Ryan H

23 сент. 2017 г.

I really enjoyed this course. The instructors were good and the assignment was enjoyable.

автор: Alessandro P

9 февр. 2016 г.

Great course!

I think that cleaning the data in the right way is the key of data science.

автор: Patrícia A F

6 апр. 2019 г.

Great Course for you to learn in more detail how data processing works in Data Science.