Advanced Business Analytics, Data Imputation Techniques 229091-D
Laboratorium (LAB) Semestr zimowy 2024/25

The main topics in advanced business analytics (BA)

Data management, data quality

Imputation and its importance in business modeling

Missing data patterns, missing data mechanisms and tests for missing data mechanism

Introduction to multiple imputation (MI)

Multiple imputation - practical application

Mixed models for longitudinal data

Quantile regression

Adaptive regression for longitudinal data and quality control. Detecting outliers and shifts in time series using regression techniques

Quantile and adaptive regression models - practical applications

Segmentation models

Simple and General Retention Models

Migration model

Lifetime Value Models with Data Mining Approach

ABA case study. Selected examples in R and Python