Applied Data and Decision Analysis

0.5-1.5 credits · Graduate

Develops an understanding of the basic concepts, techniques, uses and limitations of data driven decision-making, in a sustainable business setting. Provides an introduction to methods of statistical analysis, including descriptive statistics, data visualization, experimental design, statistical inference, hypothesis testing, regression analysis and predictive modelling in an applied setting. Emphasizes the application of data analysis, concepts and techniques, rather than theoretical foundations.