R for Data Scientists

The R for Data Scientists learning path provides a comprehensive toolkit for statistical modeling, machine learning, and data visualization. Learners will explore Bayesian inference, time series analysis, causal inference, and supervised/unsupervised learning using R. The path covers key packages like tidyverse, brms, forecast, caret, and tidymodels, enabling data scientists to analyze, model, and effectively communicate insights with robust, reproducible workflows.