A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.
ofrecido por
Universidad Johns HopkinsAcerca de este Curso
18.646 vistas recientes
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. 10 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), 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 negociosQué aprenderás
Develop basic applications and interactive graphics using GoogleVis
Use Leaflet to create interactive annotated maps
Build an R Markdown presentation that includes a data visualization
Create a data product that tells a story to a mass audience
Habilidades que obtendrás
- Interactivity
- Plotly
- Web Application
- R Programming
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. 10 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), 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
1 hora para completar
Course Overview
In this overview module, we'll go over some information and resources to help you get started and succeed in the course.
1 hora para completar
1 video (Total 1 minutos), 6 lecturas
3 horas para completar
Shiny, GoogleVis, and Plotly
Now we can turn to the first substantive lessons. In this module, you'll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly.
3 horas para completar
24 videos (Total 124 minutos), 2 lecturas, 1 cuestionario
2 horas para completar
R Markdown and Leaflet
During this module, we'll learn how to create R Markdown files and embed R code in an Rmd. We'll also explore Leaflet and use it to create interactive annotated maps.
2 horas para completar
12 videos (Total 45 minutos), 1 lectura, 2 cuestionarios
3 horas para completar
R Packages
In this module, we'll dive into the world of creating R packages and practice developing an R Markdown presentation that includes a data visualization built using Plotly.
3 horas para completar
5 videos (Total 65 minutos), 1 lectura, 2 cuestionarios
1 hora para completar
Swirl and Course Project
Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.
1 hora para completar
3 videos (Total 16 minutos), 1 lectura, 1 cuestionario
Reseñas
- 5 stars68,31 %
- 4 stars23,24 %
- 3 stars6,47 %
- 2 stars1,51 %
- 1 star0,44 %
Principales reseñas sobre DEVELOPING DATA PRODUCTS
por SS3 de mar. de 2016
This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.
por AP9 de oct. de 2019
Out of the other 8 modules, I personally liked this one the most. Here is where you put into practice what you've have learned so far. Great job guys!
por JN31 de ago. de 2017
Brian Caffo is the best! No one could explain better than him. Congratulations for this excellent course, you are my inspiration to become a better data scientist.
por SR13 de feb. de 2018
This course lacked required information of help to get started. Now thanks to some posts by mentors i was able to successfully complete the Capstone project. Overall a very good experience!
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
