Advanced Data Analytics: Predictive Thinking for Business Leaders

Level: Advanced | Tags: Predictive analytics · Modelling · Strategy

Course Description

Transition from analyzing what did happen to predicting what will happen. Designed for strategy leaders and senior analysts, this course introduces the concepts behind predictive modeling. Learn how predictive algorithms forecast sales, predict customer churn, and optimize pricing—without needing to write production code.

Learning Outcomes

  • Differentiate between descriptive, diagnostic, predictive, and prescriptive analytics.
  • Understand the business applications of classification models (e.g., churn prediction) and regression models (e.g., sales forecasting).
  • Evaluate the accuracy and business viability of predictive models built by your data science team.

Course Outline

  • Module 1: The Analytics Maturity Model: Moving to Predictive and Prescriptive
  • Module 2: Core Predictive Concepts: Regression, Classification, and Time-Series
  • Module 3: Evaluating Models: Precision, Recall, and Avoiding Overfitting
  • Module 4: Implementing Predictive Strategy: Turning Forecasts into Action