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
94.230 vistas recientes
Resultados profesionales del estudiante
37%
comenzó una nueva carrera después de completar estos cursos
37%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
13%
consiguió un aumento de sueldo o ascenso
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)
Qué 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 ManipulationRegular Expression (REGEX)R ProgrammingData Cleansing
Resultados profesionales del estudiante
37%
comenzó una nueva carrera después de completar estos cursos
37%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
13%
consiguió un aumento de sueldo o ascenso
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)
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
Principales reseñas sobre GETTING AND CLEANING DATA
por HS2 de may. de 2020
This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.
por BE25 de oct. de 2016
This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.
por CW6 de ago. de 2020
I think that the level of difficulty of the exercises and final assignment does not match with the depth of the lectures; without a textbook, I feel lost, don't have a reference, and have to guess.
por AT19 de nov. de 2017
Very interesting and enjoyed doing the Assignment. but the assignment instructions are not clear.A lot of time was wasted trying to figure out what data is what are what are we interested in.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
Is financial aid available?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
