Acerca de este curso: 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.
Creada por: Johns Hopkins University
Enseñado por: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseñado por: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseñado por: Brian Caffo, PhD, Professor, Biostatistics
Bloomberg School of Public Health
| Información básica | Curso 3 de 10 en Data Science Specialization |
| Idioma | English, Subtítulos: French, Chinese (Simplified), Vietnamese, Russian |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Week 1
In this first week of the course, we look at finding data and reading different file types.
9 videos, 4 lecturas
- 阅读: Welcome to Week 1
- 阅读: Syllabus
- 阅读: Pre-Course Survey
- Vídeo: Raw and Processed Data
- Vídeo: Components of Tidy Data
- Vídeo: Downloading Files
- Vídeo: Reading Local Files
- Vídeo: Reading Excel Files
- Vídeo: Reading XML
- Vídeo: Reading JSON
- Vídeo: The data.table Package
- 阅读: Practical R Exercises in swirl Part 1
Calificado: Week 1 Quiz
SEMANA 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 videos
- Vídeo: Reading from HDF5
- Vídeo: Reading from The Web
- Vídeo: Reading From APIs
- Vídeo: Reading From Other Sources
Calificado: Week 2 Quiz
SEMANA 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 videos, 1 lecturas
- Vídeo: Summarizing Data
- Vídeo: Creating New Variables
- Vídeo: Reshaping Data
- Vídeo: Managing Data Frames with dplyr - Introduction
- Vídeo: Managing Data Frames with dplyr - Basic Tools
- Vídeo: Merging Data
- 阅读: Practical R Exercises in swirl Part 2
- 未分级程序开发: swirl Lesson 1: Manipulating Data with dplyr
- 未分级程序开发: swirl Lesson 2: Grouping and Chaining with dplyr
- 未分级程序开发: swirl Lesson 3: Tidying Data with tidyr
Calificado: Week 3 Quiz
SEMANA 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 videos, 2 lecturas
- Vídeo: Regular Expressions I
- Vídeo: Regular Expressions II
- Vídeo: Working with Dates
- Vídeo: Data Resources
- 阅读: Practical R Exercises in swirl Part 4
- 未分级程序开发: swirl Lesson 1: Dates and Times with lubridate
- 阅读: Post-Course Survey
Calificado: Week 4 Quiz
Calificado: Getting and Cleaning Data Course Project
Preguntas Frecuentes
Cómo funciona
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
Creadores
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
It was really an enriching course. I learnt a lot about the raw data formats and tools and techniques to get the best out of that raw data. Highly recommended
Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort
Thanks for the excellent course
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Good course and pace