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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: 7,930
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:

176–200 из 1,274 отзывов о курсе Сбор и сортировка данных

автор: Adi T

15 янв. 2017 г.

I feel that getting and cleaning data course is highly important to know since this is where 80% of the work in data science is being done.

автор: Alejandro B G

11 февр. 2016 г.

WHen i took this course i though i will never apply the knwoledge in here... i was wrong, the basis of a credibly analisis is here. Thanks!

автор: Glenn W

4 мар. 2019 г.

Very good course. Dr. Peng did a nice job of presenting the material. The projects and quizzes were challenging as well as educational.

автор: Gowtham B

28 апр. 2018 г.

Excellent course to learn about data pre-processing techniques and data science. Really helpful, if you wish to become a data scientist.

автор: Jheroen P

12 дек. 2016 г.

Very useful course. I suggest taking this course straight after R programming and before taking any other courses in the specialization.

автор: Ishwarya M

21 июня 2019 г.

The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science

автор: Brett M

12 июля 2016 г.

Really fantastic even as an experienced R user. This is helping me remould my habits and break some of the bad ones. Thank you so much!

автор: Sajal J

14 авг. 2020 г.

Very good course. The end course project was also very good as it gives a good experience in loading and cleaning a real-life dataset.

автор: Ricardo L

29 дек. 2019 г.

The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.

автор: Michael A C R

17 авг. 2020 г.

Fue una experiencia maravillosa, llena de actividades y lecciones muy útiles para obtener y limpiar bases de datos. Muy provechoso.

автор: Rumian R

13 авг. 2020 г.

Massively underrated - I appreciated this course and I learned a lot. I now find it baffling how taken-for-granted data tidying is.

автор: Georgios P

24 сент. 2018 г.

The most crucial part of statistical inference or machine learning is tidy data and this course provides the basic tidy data rules!

автор: Yanying J

3 февр. 2020 г.

It's useful and practical! Especially, the swirl excerises offered not only the method, but also a clear example of data cleaning.

автор: Andrew C

8 янв. 2019 г.

The class was very interesting and useful, although I would have liked more opportunities to do web scraping in the problem sets.

автор: Shaikh M I

21 нояб. 2016 г.

This course is really helpful and very practical. Provides industry standard information and adheres to the scientific principles.

автор: Jorge L P d l T

21 мая 2020 г.

Managing Data has be a passion for me, this course for sure, opened me new skills using the powerful features of the R language.

автор: Shashikesh M

27 мая 2017 г.

This course is one another step forward towards my data science specialization. I'm really enjoying my study about data Science.

автор: Dimitrios G

3 мар. 2017 г.

Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!

автор: CAPO-CHICHI F N

14 апр. 2020 г.

I am very happy to have done this course, I discovered something new and I have new skills in Data Analysis thank you very much

автор: 倪育飞

15 окт. 2017 г.

It gave me an overview of how to getting and cleaning data.The course is best suited for anyone who is a novice in data science

автор: Massimo M

9 авг. 2017 г.

Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.

автор: Shelby B

26 апр. 2017 г.

I am so glad this course was available. Otherwise, I would noy have had an opportunity to build a data set in my everyday work

автор: Brayan S O P

19 апр. 2020 г.

It is an excellent course with all the basics and more that one needs to get started with the acquisition and cleaning of data

автор: Ajinkya D

27 нояб. 2016 г.

Good course material. A very good project at the end of the course that gave an idea about cleaning a real life huge dataset

автор: KELVIN H

25 мар. 2018 г.

good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.