Back to programme
DATA-009 Data Analytics and Business Intelligence
PROGRAMME BROCHURE

Predictive Analytics

An applied five-day programme focused specifically on Predictive Analytics.

Duration 5 days
Level Professional
Programme DATA-009
KAIZEN EUROPEAN ACADEMY Executive & Professional Development www.kaizeneurope.academy
01

Programme Overview

This five-day Kaizen European Academy programme is dedicated specifically to Predictive Analytics. It develops practical capability in Predictive Analytics through structured explanation, applied tools, realistic scenarios and guided workshops. Participants move from core concepts to hands-on application, performance control and an implementation plan that can be transferred directly to their workplace.

02

Learning Objectives

Explain the essential concepts, terminology and professional context of Predictive Analytics.
Apply the principal methods and tools used in Predictive Analytics.
Analyse realistic situations and make evidence-based decisions related to Predictive Analytics.
Evaluate performance, risk and control requirements in Predictive Analytics.
Develop a practical implementation or improvement plan for Predictive Analytics.

Who Should Attend

Professionals, specialists, supervisors and managers whose responsibilities involve predictive analytics or who need to build practical capability in this area.

Programme Methodology

Instructor-led explanation, facilitated discussion, subject-specific case studies, practical templates, individual and group exercises, simulations or technical scenarios where appropriate, peer review and a final implementation workshop.

Learning Outcomes

Explain the essential concepts, terminology and professional context of Predictive Analytics. Apply the principal methods and tools used in Predictive Analytics. Analyse realistic situations and make evidence-based decisions related to Predictive Analytics. Evaluate performance, risk and control requirements in Predictive Analytics. Develop a practical implementation or improvement plan for Predictive Analytics.

Prerequisites

No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.

Kaizen European Academy ยท Executive & Professional DevelopmentDATA-009
03

Course Outline

Day01

Predictive Analytics: Foundations and Operating Context

  • Scope, terminology and professional context of Predictive Analytics
  • Current practices and emerging trends in Predictive Analytics
  • Roles, responsibilities and stakeholder expectations in Predictive Analytics
  • Diagnostic assessment of current Predictive Analytics practices
Day02

Core Methods and Tools for Predictive Analytics

  • Predictive problem framing
  • Target variables
  • Data preparation
  • Feature selection
Day03

Applied Practice in Predictive Analytics

  • Train/test splits
  • Regression models
  • Classification models
  • Model metrics
Day04

Performance, Risk and Control in Predictive Analytics

  • Thresholds and trade-offs
  • Cross-validation
  • Overfitting
  • Explainability
Day05

Predictive Analytics: Integrated Workshop and Implementation

  • Operational deployment
  • Scoring workflows
  • Monitoring model performance
  • Business adoption
04

What You Will Receive

Programme learning materials
Practical resources and templates where applicable
Kaizen completion certificate
Participant support throughout the learning week
Kaizen European Academy

Executive & Professional Development across selected European destinations.

CONTACT & INFORMATION

Website: www.kaizeneurope.academy
Contact: www.kaizeneurope.academy/#contact

Kaizen European Academywww.kaizeneurope.academy