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102 – Data-driven Decision Making

January 1 @ 8:00 am - 5:00 pm

The course covers topics from prescriptive analytics, operations research, and system simulation and decision theory fields to provide a background on quantitative modeling.

Course Coverage

Introduction To Data-Driven Decision Making

  • Making Decisions based on Data
  • Characteristics of Big Data

Case Studies of Data-Driven Decision Making

  • New Product Development
  • Growth Hacking
  • Analyzing Trends
  • Measuring User Engagement
  • A/B Testing
  • Large Scale Surveys

Probabilistic Modeling

  • Common Probability Distributions
  • Computing Descriptive Statistics
  • Writing a Model
  • Maximum Likelihood Estimation and Sufficient Statistics

Evaluating Models

  • Generalization¬†of a Model
  • Model Selection

Common Models

  • Regression Models
  • Discrete Choice Models
  • Factor Analysis
  • Cluster Analysis

Linear Regression

  • Linear Regression Model
  • Regularization
  • Interpretability of the Predictors

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Duration
1 Day