AI-Proficient: Data Sense-Making and Decision Thinking for High-Stakes Environments
About This Course
LO1: Evaluate data sources to identify limitations that may affect conclusions and insights
LO2: Identify external factors influencing organizational scenarios or hypotheses to contextualize data-driven
LO3: Extrapolate data to create projections and support future-oriented analyses
LO4: Synthesise diverse information and analyses to generate actionable insights
LO5: Formulate actionable insights using varied approaches to critically evaluate data
LO6: Evaluate underlying situational factors to assess impacts and propose mitigating strategies
LO7: Implement improvements in data analysis processes to enhance decision-making accuracy
What You'll Learn
LU2: Information, Knowledge and Wisdom in data-driven decision making
LU3: Extrapolate the unknown unknown to interpret how customers make decisions
LU4: Dealing with emotional and cognitive bias
LU5: Recognising patterns of behaviour
LU6: Strengthening collaboration by seeing systems
LU7: The 5 dysfunctions of teams that affects decision making
Entry Requirements
Be able to speak, listen, read, and write English at a proficiency level not lower than the Workplace Literacy (WPL) Level 6. • Have no less than 3 years of work experience in management or managerial roles