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R for Data Scientists
7 courses
6 hours- Skill IQ
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.
Courses in this path
R for Data Scientists
Start your R for Data Science by watching the following courses.
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