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Вернуться к Сбор и сортировка данных

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

Оценки: 7,923
Рецензии: 1,310

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:

176–200 из 1,273 отзывов о курсе Сбор и сортировка данных

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!


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.

автор: Igor T

8 янв. 2017 г.

Really great course which helps to understand basics of data tidying. I've also enjoyed regex explanation, it's really clear!

автор: Victor A d S P

12 дек. 2019 г.

Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.

автор: William H

5 авг. 2019 г.

Thank you for the case study, very valuable to me to see how you downloaded all the data and began your exploratory analysis

автор: Bill S

25 мая 2017 г.

I greatly enjoyed this course and I really got a lot of hands-on practice that I can apply in a real-world work environment.

автор: Jim M

26 апр. 2020 г.

The content is very important when working with Big Data, yet I think JHU is unique in the importance paid to the concepts.

автор: Sebastian O V

6 авг. 2018 г.

Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort