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
Profiling and Benchmarking R Code
Performance optimization is essential for ensuring that R code runs efficiently, especially with large datasets. Learning profiling and benchmarking strategies helps users identify bottlenecks and improve the speed of their analyses.
R 4.1.0: Base R Pipe Has Arrived! Use Cases, Benchmark vs. magrittr
Benchmarking R functions for joining data frames (CC292)
Developer time vs Execution time: When should you refactor your R code for speed? (CC028)