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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.


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:

201–225 из 1,273 отзывов о курсе Сбор и сортировка данных

автор: James L J J

26 дек. 2019 г.

The Value of the course is in the course projects. I found that working through them really accelerated the understanding.

автор: Xun Y

10 июля 2017 г.

Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.

автор: João A P B

25 февр. 2017 г.

Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.

автор: David R

3 сент. 2018 г.

Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.

автор: Anne M

10 янв. 2016 г.

Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.

автор: Andrés H V

28 июня 2020 г.

I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.

автор: Cathryn S

2 янв. 2017 г.

A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills

автор: Nelson S S

10 нояб. 2020 г.

Excelente Curso.

Muchas gracias por compartir sus conocimientos y el gran aporte que hacen en éstas épocas de pandemia

автор: FARZAD R

26 февр. 2017 г.

This course is very interesting, useful and practical

I appreciate for all of efforts of my professors in this course

автор: Pitchayen S

14 февр. 2017 г.

Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.

автор: Anastasia T

19 окт. 2016 г.

Interesting, challenging course. Opened lots of questions to the topic and gave a good direction to find the answers.

автор: Cristóbal A

2 апр. 2016 г.

Entrega conceptos y herramientas útiles. El material es de buena calidad y es presentado de una forma bastante clara.

автор: Suryadipta D

28 мар. 2018 г.

Very simple and introductory course that teaches the concepts really well. Forms a brilliant specialization course.

автор: Steven C

15 мар. 2017 г.

Great coverage of useful R libraries for retrieving and tidying up data, and difficult but valuable course project.

автор: Peter

22 мар. 2016 г.

Very good class for a beginner. Helps become more comfortable with R programming and aspects of getting data into R

автор: Vivek G

8 нояб. 2019 г.

Challenging course for working professionals from time perspective but very educative and useful. I learned a lot.

автор: Vipin J

20 нояб. 2018 г.

A must take course for data science carrer... Very good concept explaination with really good hands on with Swirl.

автор: Philip S

9 июля 2018 г.

Excellent survey of data cleaning methods, good grounding in tidyverse tools, builds nicely on previous 2 courses.

автор: Matheus L N

6 июня 2018 г.

was a hard module for whose isn't a programmer, but was well done structureted to easy learning with hard studying

автор: ayush j

18 апр. 2018 г.

Many tricks and tips tools, many good functions. its really way completing my need on R at initial level i needed.

автор: Ekta R

27 июня 2017 г.

I am very much enjoyed the course. However, a lot of dedication is required as a beginner to complete this course.

автор: Aman G

15 июня 2017 г.

Really helped me learn the different sources of acquiring data into R and methods to transform data into tidy data

автор: Medha B

22 сент. 2020 г.

Really great course and i feel a necessary one as it connects and covers many points of the previous 2 courses.

автор: 坂本幹次

8 сент. 2020 г.

the course provide useful functions and methods and tell us why we should use them in a way easy to understand.

автор: Francisco M

12 июля 2020 г.

A very demanding course. It took me more than a month to end it but It was worth the effort. I learned a lot.