Gathering, Wrangling, and Analyzing Data in R

3 credits · Undergraduate Programs

Introduction to software tools, including R, to clean/organize/analyze data, for graphical analyses, reports, and presentations. Topics include working with API's, advanced data scraping tools, dynamic and interactive visualizations, and implementations of statistical methods in data analytics. Skills are applied to typical business data sources and case studies with presentations. Prerequisite(s): Admission to the Haskayne School of Business and Business Technology Management 317. Antirequisite(s): Credit for Business Technology Management 431 and 559.01 will not be allowed.