Об этом курсе
4.6
Оценки: 5,249
Рецензии: 841
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....
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Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

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Clock

Approx. 14 hours to complete

Предполагаемая нагрузка: 5 hours/week...
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English

Субтитры: English, French, Chinese (Simplified), Vietnamese, Russian...

Чему вы научитесь

  • Check
    Apply data cleaning basics to make data "tidy"
  • Check
    Obtain usable data from the web, APIs, and databases
  • Check
    Understand common data storage systems
  • Check
    Use R for text and date manipulation

Приобретаемые навыки

Data ManipulationRegular Expression (REGEX)R ProgrammingData Cleansing
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Clock

Approx. 14 hours to complete

Предполагаемая нагрузка: 5 hours/week...
Comment Dots

English

Субтитры: English, French, Chinese (Simplified), Vietnamese, Russian...

Программа курса: что вы изучите

Week
1
Clock
2 ч. на завершение

Week 1

In this first week of the course, we look at finding data and reading different file types....
Reading
9 видео (всего 67 мин.), 4 материалов для самостоятельного изучения, 1 тест
Video9 видео
Raw and Processed Data7мин
Components of Tidy Data9мин
Downloading Files7мин
Reading Local Files4мин
Reading Excel Files3мин
Reading XML12мин
Reading JSON5мин
The data.table Package11мин
Reading4 материала для самостоятельного изучения
Welcome to Week 110мин
Syllabus10мин
Pre-Course Survey10мин
Practical R Exercises in swirl Part 110мин
Quiz1 практическое упражнение
Week 1 Quiz10мин
Week
2
Clock
1 ч. на завершение

Week 2

Welcome to Week 2 of Getting and Cleaning Data! The primary goal is to introduce you to the most common data storage systems and the appropriate tools to extract data from web or from databases like MySQL. ...
Reading
5 видео (всего 41 мин.), 1 тест
Video5 видео
Reading from HDF56мин
Reading from The Web6мин
Reading From APIs7мин
Reading From Other Sources4мин
Quiz1 практическое упражнение
Week 2 Quiz10мин
Week
3
Clock
10 ч. на завершение

Week 3

Welcome to Week 3 of Getting and Cleaning Data! This week the lectures will focus on organizing, merging and managing the data you have collected using the lectures from Weeks 1 and 2. ...
Reading
7 видео (всего 60 мин.), 1 материал для самостоятельного изучения, 4 тестов
Video7 видео
Summarizing Data11мин
Creating New Variables10мин
Reshaping Data9мин
Managing Data Frames with dplyr - Introduction3мин
Managing Data Frames with dplyr - Basic Tools12мин
Merging Data6мин
Reading1 материал для самостоятельного изучения
Practical R Exercises in swirl Part 210мин
Quiz1 практическое упражнение
Week 3 Quiz10мин
Week
4
Clock
6 ч. на завершение

Week 4

Welcome to Week 4 of Getting and Cleaning Data! This week we finish up with lectures on text and date manipulation in R. In this final week we will also focus on peer grading of Course Projects. ...
Reading
5 видео (всего 34 мин.), 2 материалов для самостоятельного изучения, 3 тестов
Video5 видео
Regular Expressions I5мин
Regular Expressions II8мин
Working with Dates6мин
Data Resources3мин
Reading2 материала для самостоятельного изучения
Practical R Exercises in swirl Part 410мин
Post-Course Survey10мин
Quiz1 практическое упражнение
Week 4 Quiz10мин
4.6
Direction Signs

40%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: BEOct 26th 2016

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.

автор: ARMay 14th 2018

Loved the structure of the course. Learned a lot. The course project seemed a little funky , especially creating the codebook for an already existing set of data but was a useful teaching aid.

Преподавателя

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health

О Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

О специализации ''Data Science'

Ask the right questions, manipulate data sets, and create visualizations to communicate results. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material....
Data Science

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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