关于此课程： 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.
制作方： 约翰霍普金斯大学
教学方： Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
教学方： Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
教学方： Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| 基本信息 | 课程 3（共 10 门，Data Science Specialization ） |
| 语言 | English, 字幕： Russian, French, Chinese (Simplified) |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
Week 1
In this first week of the course, we look at finding data and reading different file types.
9 个视频, 4 个阅读材料
- Leyendo: Welcome to Week 1
- Leyendo: Syllabus
- Leyendo: Pre-Course Survey
- 视频: Raw and Processed Data
- 视频: Components of Tidy Data
- 视频: Downloading Files
- 视频: Reading Local Files
- 视频: Reading Excel Files
- 视频: Reading XML
- 视频: Reading JSON
- 视频: The data.table Package
- Leyendo: Practical R Exercises in swirl Part 1
已评分: Week 1 Quiz
第 2 周
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 个视频
- 视频: Reading from HDF5
- 视频: Reading from The Web
- 视频: Reading From APIs
- 视频: Reading From Other Sources
已评分: Week 2 Quiz
第 3 周
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 个视频, 1 个阅读材料
- 视频: Summarizing Data
- 视频: Creating New Variables
- 视频: Reshaping Data
- 视频: Managing Data Frames with dplyr - Introduction
- 视频: Managing Data Frames with dplyr - Basic Tools
- 视频: Merging Data
- Leyendo: Practical R Exercises in swirl Part 2
- Programación no calificada: swirl Lesson 1: Manipulating Data with dplyr
- Programación no calificada: swirl Lesson 2: Grouping and Chaining with dplyr
- Programación no calificada: swirl Lesson 3: Tidying Data with tidyr
已评分: Week 3 Quiz
第 4 周
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 个视频, 2 个阅读材料
- 视频: Regular Expressions I
- 视频: Regular Expressions II
- 视频: Working with Dates
- 视频: Data Resources
- Leyendo: Practical R Exercises in swirl Part 4
- Programación no calificada: swirl Lesson 1: Dates and Times with lubridate
- Leyendo: Post-Course Survey
已评分: Week 4 Quiz
已评分: Getting and Cleaning Data Course Project
常见问题解答
运作方式
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
制作方
约翰霍普金斯大学
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.
价格
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| 访问课程材料 | 可用 |
| 访问评分的材料 | 可用 |
| 收到最终成绩 | 可用 |
| 获得可共享的课程证书 | 可用 |
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