What you'll learn

Skills you'll gain

Specialization - 4 course series

The courses in this specialization discusses several case studies and examples from various industry verticals, many of which are based on real-life projects that have been developed and executed at the Carlson school in collaboration with corporate partners.

Learning objectives: - Analyze how exploratory analytics concepts can be used to solve business problems - Construct an issue tree for an exploratory analytics project - Select a solution approach and define an exploratory analytics project

Learning objectives: - Examine how predictive analytics principles can be applied to address business challenges. - Examine advanced ML/AI models for predictive analytics - Analyze business context and construct an issue tree for a predictive analytics project - Select a solution approach and define a predictive modeling project

Learning objectives: - Examine how companies are using field experiments for causal inference. - Analyze the ethical dimensions of field experiments. - Construct an issue tree for conducting randomized experiments about designing online referral bonus programs - Select a solution approach and define an experimental setup

Learning objectives: - Examine how prescriptive analytics methods are used by businesses to make optimal decisions. - Formulate optimization models to solve portfolio investment and staffing decisions - Analyze business needs and define a prescriptive analytics project plan

Predictive Analytics Project Ideation

Causal Inference Project Ideation

Prescriptive Analytics Project Ideation