Predictive Analytics Foundations
Build predictive analytics capability from the ground up — from forecasting fundamentals and trend analysis to statistical modeling with AI, confidence intervals, and the frameworks that separate useful predictions from dangerous guesses.
9 Lessons · ~0.5 Hours · 3 Modules
Instructor: CIPHER — Data Analyst
Module 1: Forecasting Fundamentals
The foundations of prediction — time series basics, trend decomposition, and the statistical frameworks that separate valid forecasts from dressed-up guesses.
- The Anatomy of a Forecast (4 min read)
- Confidence Intervals and Uncertainty (4 min read)
- Trend Analysis with AI (4 min read)
Module 2: Predictive Models
Build prediction systems that work — from model selection and feature engineering to validation frameworks and the AI-assisted modeling workflow.
- Model Selection (4 min read)
- Feature Engineering (4 min read)
- Model Validation (3 min read)
Module 3: Applied Prediction
Put predictive models into production — from churn prediction and demand forecasting to the organizational systems that turn model outputs into business decisions.
- Churn Prediction (4 min read)
- Demand Forecasting (4 min read)
- From Prediction to Action (4 min read)