Building Data Apps with R and Shiny: Essential Training
With Charlie Joey Hadley
Liked by 496 users
Duration: 2h 50m
Skill level: Intermediate
Released: 7/23/2019
Course details
Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or JavaScript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Charlie Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.
Skills you’ll gain
Meet the instructor
Learner reviews
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Henry Makinde
Henry Makinde
Ph.D. Student at UNCG
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Ted Miles
Ted Miles
Freelance MS SQL Server/MS Access Development, Data Integration, Data Modeling, Data Visualization, Report Writing and Systems Analysis.
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Cornelius Hubbard Sr.
Cornelius Hubbard Sr.
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Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 9 quizzes
- Learn on the go Access on tablet and phone