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.
Ce cours fait partie de la Spécialisation Data Visualization & Dashboarding with R
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Spécialisation Data Visualization & Dashboarding with RUniversité Johns-HopkinsÀ propos de ce cours
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Sous-titres : Anglais
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 5 dans le
Approx. 11 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université 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.
Programme de cours : ce que vous apprendrez dans ce cours
5 heures pour terminer
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 heures pour terminer
3 vidéos (Total 19 min), 12 lectures, 4 quiz
3 heures pour terminer
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 heures pour terminer
4 vidéos (Total 22 min), 5 lectures, 2 quiz
3 heures pour terminer
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 heures pour terminer
5 vidéos (Total 21 min), 4 lectures, 3 quiz
Avis
- 5 stars86,95 %
- 4 stars13,04 %
Meilleurs avis pour ADVANCED DATA VISUALIZATION WITH R
par CM20 avr. 2021
It's a very good course and you'll learn a lot of topics related to advanced visualizations.
par OE23 déc. 2020
Great course! Lots of data wrangling and visualization.
par JW15 août 2021
My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.
À propos du Spécialisation 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.
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