INTRODUCTORY ANALYTICS FOR DECISION MAKING
Introduces key stages in the processes of gathering and analyzing data for decision making, including tasks, methods, and tools used at each stage. Topics include developing the research question from organizational goals, choosing appropriate data collection methods, sampling, basics of measurement and question design, managing and visualizing data, descriptive statistics and basic inferential statistics such as correlations, regressions, and ANOVA.
Topics
- developing the research question from organizational goals
- choosing appropriate data collection methods
- sampling
- basics of measurement and question design
- managing and visualizing data
- descriptive statistics and basic inferential statistics such as correlations
- regressions
- and ANOVA
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: Graduate/professional standing or Declared in Analytics for Decision Making capstone certificate Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- INTRODUCTORY ANALYTICS FOR DECISION MAKING · 3 credits.