Predictive Analytics for Business

Course Overview

A practical, business‑focused course that teaches learners how to use statistical models and machine‑learning techniques to predict future outcomes and support data‑driven decisions. The course covers data preparation, feature engineering, regression models, classification techniques, model evaluation, deployment concepts, and real‑world business applications across operations, marketing, finance, HR, and strategy.

Target Audience

• Business analysts and data analysts

• Operations, marketing, finance, and HR professionals

• BI developers and decision‑support teams

• Managers seeking to use predictive insights in planning and strategy

• Students or professionals entering analytics or data science roles

Course Outcomes

• Understand predictive modelling concepts, workflows, and business use cases

• Prepare and transform data for modelling, including feature engineering

• Apply regression, classification, and machine‑learning techniques

• Evaluate model performance using accuracy, precision, recall, ROC‑AUC, and error metrics

• Use predictive insights to support decisions in operations, marketing, finance, and HR

• Build dashboards and reports that communicate predictive results clearly

• Interpret model outputs and translate them into actionable recommendations

• Support business planning, optimisation, and strategic decision‑making with predictive analytics