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Learn Programming Language R

Data Science Machine Learning Data Visualization

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.

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Parallel Computing with R

Parallel computing techniques allow R users to speed up model building and data processing. Learning these methods is vital for optimizing performance and processing large volumes of data efficiently.

Machine Learning in R: Speed up Model Building with Parallel Computing

Make your Analysis 4x faster | Multi core processing with R

How to run your R code in parallel with the furrr package (CC127)