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User Data Driven Action Taking

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

“User Data Driven Action Taking” 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