Learn Programming Language R
This course is designed to provide learners with advanced skills in data manipulation, statistical modeling, data visualization, and machine learning using R. It aims to equip users with practical techniques and strategies that can be applied in real-world data analysis scenarios. Participants will learn to clean and reshape data, implement statistical models, create dynamic visualizations, and leverage machine learning algorithms effectively.
Advanced Data Manipulation in R
Statistical Modeling in R
Data Visualization Techniques
Machine Learning with R
Performance Optimization and Debugging
R for Big Data
Interactive Visualizations with Shiny
Creating interactive visualizations is an essential skill for modern data analysis. Shiny allows users to build interactive web applications that facilitate user engagement and exploration of data insights, making their findings more accessible to a broader audience.
R Shiny for Data Science Tutorial – Build Interactive Data-Driven Web Apps
Introduction to Interactive Visualizations using Shiny Apps, by Diego Kozlowski & Carolina Pradier
Interactive Graphics with Shiny | RStudio Webinar - 2016