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 HealthEnseñado por: Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public HealthEnseñado 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
- Reading: Welcome to Week 1
- Reading: Syllabus
- Reading: 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
- Reading: 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 lectura
- 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
- 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
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
- Reading: Practical R Exercises in swirl Part 4
- Ungraded Programming: swirl Lesson 1: Dates and Times with lubridate
- Reading: Post-Course Survey
Calificado: Week 4 Quiz
Calificado: Getting and Cleaning Data Course Project
Preguntas Frecuentes
Cómo funciona
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.
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
Great course with great materials. Easy to understand and to learn.
good
Very useful content and challenging assignments
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CT
The journey through the entire course was quite exceptional for me. It was great to hone the skills of programming and especially in this digital world where data is key for every analysis, inference, prediction and what not! When everyone looks at neat and tidy data that one can rely on, it is extremely important to understand and know the finer nuances of what it takes to get a nice and efficient dataset and that is the essence of this course.