Investment Analysis: Statistical Methods Using R for Windows
Adult / Enrichment -
This class illustrates statistical methods to aid securities investment decisions. The class uses the open-source (free) R statistical software and its interface companion, R Studio; both are widely used in education and finance. Students who will benefit most are independent investors experienced with Windows who recognize terms like "bell curve" and "standard deviation," but the class does not require programming experience and will not address the gnarly academic rabbit holes traditional statistics and programming classes impose. After taking the class, students will be able to describe, compare and forecast investment returns and risk using R.
Prior to class, students must download Windows versions of R (https://cran.r-project.org/mirrors.html) and R Studio (https://www.rstudio.com/products/rstudio/download/#download) in that order, to a laptop brought to class.
Gregory Nicholson Hight
The instructor was an Asst Professor for the College of St Benedict and St John's University in the Accounting and Finance Department. He also taught finance and investment courses for Herberger Business School at St Cloud State University. His last publication used R software and appeared in the Journal of Investing in 2021.