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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Cours 2 sur 5 dans le
Niveau intermédiaire
Approx. 13 heures pour terminer
Anglais
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 2 sur 5 dans le
Niveau intermédiaire
Approx. 13 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
4 heures pour terminer
Introduction to the Grammar of Graphics
In this module, we will get started using ggplot2. 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.
4 heures pour terminer
4 vidéos (Total 26 min), 11 lectures, 3 quiz
3 heures pour terminer
More Visualizations with ggplot
In this module, we will continue working with ggplot, learning additional types of visualization techniques. 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
7 vidéos (Total 39 min), 4 lectures, 3 quiz
5 heures pour terminer
ggplot Graphical Elements
In this module, we will cover how to refine plots created in ggplot2. 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. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course.
5 heures pour terminer
6 vidéos (Total 38 min), 8 lectures, 4 quiz
Avis
- 5 stars89,15 %
- 4 stars9,63 %
- 3 stars1,20 %
Meilleurs avis pour DATA VISUALIZATION IN R WITH GGPLOT2
par AT14 avr. 2021
The course is very interesting. It helped me improve my skills with different graphs and charts
par DP28 juil. 2021
The best course that I took on Coursera. Thanks Prof. Collin Paschall very much for the entire course set up.
par CC4 août 2021
Very nice course. I love how simple and straightforwad is the learning process
par MZ12 mai 2021
My best thanks to Coursera and Johns Hopkins University for holding this valuable course.
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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