Data Analysis for Decision Making
Learning Outcomes:
- Define fundamental concepts, terms, and principles related to data analysis for decision making.
- Describe data patterns, relationships, analytical methods, and results using appropriate statistical and visual approaches.
- Analyze data, analytical outputs, and model results to generate insights that support decision making.
Topics:
- Describing the Distribution of a Single Variable
- Finding Relationships among Variables
- Data Exploration and Visualization
- Normal, Binomial, Poisson, and Exponential Distribution
- Decision Making under Uncertainty, MCDA, and Sensitivity Analysis
- Regression Analysis: Estimating Relationships
- Regression Analysis: Statistical Inference
- Logistic Regression
- Naïve Bayes
- Classification Trees
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