Об этом 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.
Автор: Университет Джонса Хопкинса
Преподаватели: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Преподаватели: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Основные сведения | Course 3 of 10 in the Data Science Specialization |
| Язык | English, Субтитры: Russian, French, Chinese (Simplified) |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Week 1
In this first week of the course, we look at finding data and reading different file types.
9 видео, 4 материалов для самостоятельного изучения
- Reading: Welcome to Week 1
- Reading: Syllabus
- Reading: Pre-Course Survey
- Видео: Obtaining Data Motivation
- Видео: Raw and Processed Data
- Видео: Components of Tidy Data
- Видео: Downloading Files
- Видео: Reading Local Files
- Видео: Reading Excel Files
- Видео: Reading XML
- Видео: Reading JSON
- Видео: The data.table Package
- Reading: Practical R Exercises in swirl Part 1
Оцениваемый: Week 1 Quiz
НЕДЕЛЯ 2
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.
5 видео
- Видео: Reading from MySQL
- Видео: Reading from HDF5
- Видео: Reading from The Web
- Видео: Reading From APIs
- Видео: Reading From Other Sources
Оцениваемый: Week 2 Quiz
НЕДЕЛЯ 3
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.
7 видео, 1 материал для самостоятельного изучения
- Видео: Subsetting and Sorting
- Видео: Summarizing Data
- Видео: Creating New Variables
- Видео: Reshaping Data
- Видео: Managing Data Frames with dplyr - Introduction
- Видео: Managing Data Frames with dplyr - Basic Tools
- Видео: Merging Data
- Reading: Practical R Exercises in swirl Part 2
- Ungraded Programming: swirl Lesson 1: Manipulating Data with dplyr
- Ungraded Programming: swirl Lesson 2: Grouping and Chaining with dplyr
- Ungraded Programming: swirl Lesson 3: Tidying Data with tidyr
Оцениваемый: Week 3 Quiz
НЕДЕЛЯ 4
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.
5 видео, 2 материалов для самостоятельного изучения
- Видео: Editing Text Variables
- Видео: Regular Expressions I
- Видео: Regular Expressions II
- Видео: Working with Dates
- Видео: Data Resources
- Reading: Practical R Exercises in swirl Part 4
- Ungraded Programming: swirl Lesson 1: Dates and Times with lubridate
- Reading: Post-Course Survey
Оцениваемый: Week 4 Quiz
Оцениваемый: Getting and Cleaning Data Course Project
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
Университет Джонса Хопкинса
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
I think there should be more graded assignments. The quizzes help but doing more projects would be really helpful.
Many tricks and tips tools, many good functions. its really way completing my need on R at initial level i needed.
Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)
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陈
Very useful class for someone like me who be a beginner of data science