This course will treat the major topics of data analytics in depth. The material includes the theoretical background of predictive data analytics. The course gives students hands on experience with data analytic techniques as well as techniques of presentation and decision making based on data.
This course is an introduction to the R programming language and environment for statistical computing and graphics. The primary focus will be on R programming basics, coupled with the data analysis skills required to transform, visualize and explore data. Students will also learn to run and interpret the results from commonly used parametric and non-parametric inferential tests. The course also includes a introduction to correlation and simple linear models.