Build a practical foundation in industrial technical data and understand how engineering data supports performance analysis and decision-making.

Develop practical statistical and KPI skills for measuring industrial performance and establishing meaningful performance references.

Learn how to analyze time-based data, compare performance and identify deterioration, variation and performance gaps.

Apply data analysis to equipment performance, breakdowns, reliability and recurring losses to support maintenance and reliability decisions.

Develop the ability to analyze energy, utility and maintenance-related costs and evaluate specific consumption and savings opportunities.

Use technical data to identify abnormal conditions, investigate performance gaps and support evidence-based root-cause analysis.

Learn how to present technical analysis clearly through charts, dashboards and concise management reports that support decisions.

Integrate the complete data-analysis workflow through practical industrial datasets, equipment and utility analysis, RCA and a final management presentation.