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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Approx. 12 heures pour terminer
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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 1 sur 5 dans le
Niveau débutant
Approx. 12 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
Getting Started with Data Management and Visualization with R
In this module, we will get set up with R to process data for visualizations. 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
8 vidéos (Total 40 min), 7 lectures, 5 quiz
4 heures pour terminer
Using the Tidyverse packages
In this module, we will use functions from the tidyverse to manipulate data. 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
5 vidéos (Total 27 min), 7 lectures, 3 quiz
4 heures pour terminer
Using R Markdown to Make Reports
In this module, we learn to make reproducible reports using R Markdown. 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.
4 heures pour terminer
3 vidéos (Total 15 min), 8 lectures, 4 quiz
Avis
Meilleurs avis pour GETTING STARTED WITH DATA VISUALIZATION IN R
par AT11 avr. 2021
I found this course interesting. It help me improve on the skills as a look to advance skills in R. I liked the recode function. I had not yet used it
par RR20 mars 2021
Good exercises and great format having peer-reviewed submissions. Might have done visualizaiton in base R, first, but otherwise great intro.
par JL13 nov. 2020
Loved this course! Very practical and easy to follow. The readings are very helpful also. Thanks a lot Professor Paschall!
par EL8 juin 2021
I very much appreciate Colin's style and pace. This course is really well done and I would recommend highly !
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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