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.
ofrecido por
Universidad Johns HopkinsAcerca de este Curso
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Fechas límite flexibles
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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Prueba Coursera para negociosQué aprenderás
Understand common data storage systems
Apply data cleaning basics to make data "tidy"
Use R for text and date manipulation
Obtain usable data from the web, APIs, and databases
Habilidades que obtendrás
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Data Cleansing
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad Johns Hopkins
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.
Programa - Qué aprenderás en este curso
2 horas para completar
Week 1
In this first week of the course, we look at finding data and reading different file types.
2 horas para completar
9 videos (Total 67 minutos), 4 lecturas, 1 cuestionario
1 hora para completar
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.
1 hora para completar
5 videos (Total 41 minutos)
11 horas para completar
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.
11 horas para completar
7 videos (Total 60 minutos), 1 lectura, 4 cuestionarios
5 horas para completar
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 horas para completar
5 videos (Total 34 minutos), 2 lecturas, 3 cuestionarios
Reseñas
- 5 stars67,54 %
- 4 stars23,65 %
- 3 stars5,85 %
- 2 stars1,61 %
- 1 star1,31 %
Principales reseñas sobre OBTENCIÓN Y LIMPIEZA DE DATOS
por DH1 de feb. de 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.
See the videos for general presentation, but use the energy on the excersizes.
por CK5 de feb. de 2016
This is a very well put together course. It teaches the basics of data cleansing and how to setup data for modeling--by far the most foundational technical aspect of data analysis.
por KS21 de may. de 2019
I really liked this course and believe that my work, although seemingly noob-ish, will get much better as I see others works from the peer review and examples noted in the lessons.
por XX14 de ago. de 2018
The Swirl practice part is great! But there is a big gap between what we learned from video/swirl and the course project! The project is much harder than what I learn from the course.
Preguntas Frecuentes
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