Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Este curso forma parte de Programa especializado: Data Visualization & Dashboarding with R
3015 ya inscrito
ofrecido por
Programa especializado: Data Visualization & Dashboarding with RUniversidad Johns HopkinsAcerca de este Curso
9993 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. 11 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
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. 11 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
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
5 horas para completar
Advanced Figures with ggplot2
In this module, we will work through making a number of different figures using ggplot2 and a few additional R packages. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
5 horas para completar
3 videos (Total 19 minutos), 12 lecturas, 4 cuestionarios
3 horas para completar
Spatial Data
In this module, we go through an introduction for making spatial figures (maps) in R. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
3 horas para completar
4 videos (Total 22 minutos), 5 lecturas, 2 cuestionarios
3 horas para completar
Plotly and gganimate
In this module, we will work on animating figures and making them interactive. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
3 horas para completar
5 videos (Total 21 minutos), 4 lecturas, 3 cuestionarios
Reseñas
- 5 stars86,36 %
- 4 stars13,63 %
Principales reseñas sobre ADVANCED DATA VISUALIZATION WITH R
por OE23 de dic. de 2020
Great course! Lots of data wrangling and visualization.
por CM20 de abr. de 2021
It's a very good course and you'll learn a lot of topics related to advanced visualizations.
por JW15 de ago. de 2021
My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.
Acerca de Programa especializado: Data Visualization & Dashboarding with R
This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
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.
