Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python) Module 3: Programme Evaluation and Causal Inference (Synchronous E-learning)
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2022015154
S$600
Original: S$2,000
Save S$1,400
About This Course
At the end of this 2-day module, participants will be able to:
• Explain the meaning of causation and directed acyclic graphs (DAGs)
• Identify major threats to causal inference and programme evaluation
• Run statistical models for A/B tests data
• Execute econometric analyses (Difference-in-Differences, Regression Discontinuity, Instrumental Variable, and Matching)
What You'll Learn
In any organisation, strategic decision makers commonly face questions about the impact of a certain strategy on their target groups of people. This requires expertise in causal inference. Yet, one often missed element in a computational business analytics course in Python is a lesson on causal inference. This module will help participants to understand under which circumstances business analytic questions ask for causal inference, and how to execute this in Python and translate the results. Participants will learn the logic of causation, fundamentals of A/B testing and analysis, and essential econometric methods for analysing causality in naturally arising data.
Entry Requirements
Participants should have some knowledge or experience in Python programming (equivalent to that attained in SMU Academy's Professional Certificate in Python Programming programme).
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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