---

All notebooks are at the GitHub Repository.

Business Analytics

• Exploring Data
  • Data Description
  • Statistical Inferences
  • Statistical Significance
  • Estimating Relationships
• Applied Regression Analysis
  • Regression Assumptions
  • Regression Estimation
  • Advice to Managers
  • Regression Analysis
  • Regression Modeling
• Times Series Analysis
  • Forecasting Methods
  • Time Series Data
  • Forecasting with Regression
  • Exponential Smoothing Forecasts
  • Stationarity
  • Forecastability
  • Components of Time Series
  • Autocorrelation and Partial Autocorrelation
  • ARIMA Models
  • Seasonal ARIMA (SARIMA) Models
  • Case Study
• Optimization
  • Linear Programming
  • Mixed-Integer Programming
  • Nonlinear Programming
  • Operations Research
  • Monty Hall Problem
  • Secretary Problem
• Machine Learning
  • Logistic Regression
  • Naive Bayes
  • Clustering
  • A First Look on Deep Learning
  • A Short Introduction to AI
  • Current Status of Deep Learning

Indices and tables

• Index

• Module Index

• Search Page