Data Science

1.5 credits · Undergraduate

A marriage of computational and inferential thinking that enables analysts to use data to make good decisions. Introduces and develops the foundational skills required to tackle complex data science projects. Topics covered include: R programming, data visualization in R, data wrangling, statistical foundations and introductory regression modelling.