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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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Data Reshaping and Cleaning

Data reshaping and cleaning are crucial steps in any data analysis process. By mastering these techniques, users can ensure that their datasets are well-structured and ready for analysis, enhancing the overall quality of insights derived from the data.

Reshaping the Data in R | Making the data Longer and Wider in R | Package tidyr

pivot_longer & pivot_wider Functions of tidyr Package in R | Reshape Data from Wide to Long Format

Reshape Data Frame from Wide to Long Format in R (2 Examples) | melt & gather Functions in RStudio