R Programming for Data Science

Description

Description

This course introduces R, a language widely used in data science and statistical computing. Students begin with the basics—vectors, data frames, and functions—then move into data manipulation with dplyr and visualization with ggplot2. They also learn to clean datasets, apply statistical models, and use R Markdown for reporting. Projects include analyzing survey data, running regressions, and generating dashboards. The course emphasizes reproducible research and working with real-world datasets. R’s robust packages for analytics, like caret and tidyr, are also explored. Perfect for aspiring statisticians and data scientists who prefer open-source tools for analysis and visualization.

斎藤美紀

I finally understand this topic thanks to the way it was taught.

Brian Mitchell

I finally understand this topic thanks to the way it was taught.

Lisa Moore

Loved the examples and hands-on exercises.

山口美佳

I finally understand this topic thanks to the way it was taught.

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R Programming for Data Science