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R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps

Offered By: freeCodeCamp

Tags

Shiny Courses Data Science Courses Data Visualization Courses Machine Learning Courses R Programming Courses Heroku Courses

Course Description

Overview

Build interactive data-driven web apps in R using the Shiny package in this comprehensive tutorial. Learn the fundamentals of Shiny, starting with basic user input and progressing to more complex applications. Create five practical apps, including a histogram display, machine learning models for weather and iris datasets, and a BMI calculator. Master the process of deploying Shiny apps to Heroku for public access. Gain hands-on experience with code examples and step-by-step guidance from data science expert Chanin Nantasenamat. Explore additional resources and connect with the instructor through various platforms for continued learning in bioinformatics and data science.

Syllabus

) Introduction.
) Introduction to Shiny.
) App 1 – Print User Input.
) App 2 – Display Histogram.
) App 3 – Machine Learning (Weather Dataset).
) App 4 – Machine Learning (Iris Dataset).
) App 5 – BMI Calculator.
) Deploy Shiny Apps to Heroku.


Taught by

freeCodeCamp.org

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