Data Science for Managers
The statistical computer language R will be used to explore, wrangle, program, model, and communicate quantitative relationships using public and private databases.
MPA
634
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesNone
 TaughtFall, Winter
Course Outcomes: 


Processes Skills

  • Identify and model time series components and patterns.

Processes Skills

  • Master basic time series and causal modeling techniques.

Processes Skills

  • Use Excel and R to make basic forecasts.

Effective Communication

  • Communicate forecasts and their limitations to decision-makers.

Critical Thinking

  • Gain intuition by practicing on a variety of government, business, and financial market time series.