Who Should Attend
Professionals, specialists, supervisors and managers whose responsibilities involve predictive analytics or who need to build practical capability in this area.
An applied five-day programme focused specifically on Predictive Analytics.
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.
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.
Professionals, specialists, supervisors and managers whose responsibilities involve predictive analytics or who need to build practical capability in this area.
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.
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.
No formal prerequisite is required. Relevant professional experience is helpful; technical courses may assume basic familiarity with the operating environment.
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
Predictive problem framing
Target variables
Data preparation
Feature selection
Train/test splits
Regression models
Classification models
Model metrics
Thresholds and trade-offs
Cross-validation
Overfitting
Explainability
Operational deployment
Scoring workflows
Monitoring model performance
Business adoption
Choose one of the next planned European dates, or create a private delivery around your own schedule.
No public date is currently displayed for this programme. Choose the programme, preferred city and approximate dates. We will organise the venue, trainer and delivery format around your requirements.
This programme can be scheduled across our European training destinations. Venue and trainer are confirmed separately for each session.
Final venue, dates and trainer are confirmed when the session is scheduled.