Data Analytics

Catalog description

Introduction to the field of data science. Instruction using software tools (such as the R programming language) to enable the wrangling, processing, and analysis of a range of data types. Discussion of key principles for reproducible analysis and data sharing. Topics of interest include descriptive statistics, concepts in probability, statistical inference, and regression analysis. prereq: Math/Stat 1161 or Stat 3011