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This beginner course path introduces core data science concepts and workflows using R. It is designed for learners who want practical experience analyzing data with widely used R packages.
You will manipulate and summarize datasets with dplyr, then create clear visualizations with ggplot2. You will also learn how to preprocess data, split datasets, train basic machine learning models with caret, and evaluate model performance.
Hands-on work with the mtcars dataset brings these skills together in an end-to-end machine learning workflow, from preparing data to interpreting results.
