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Duration 14 hours
Course Outline
Day 1 – Excel applied in Manufacturing
- Introduction to data digitization and the role of Excel in manufacturing
- Structuring and managing production data (inventory, batches, KPI)
- Essential formulas and functions for KPI analysis
- Pivot Tables and data visualization
- Simple automation and macros for reporting
Day 2 – AI Essentials for Manufacturing
- Excel review and introduction to AI
- AI for production optimization and preventive maintenance
- Integrating AI with Excel for data analysis
- Creating dashboards with AI results
- Best practices and action plan for AI adoption in company processes
Requirements
- Understanding of: production processes, workflows, and data-driven decision-making
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Experience with: Excel for data management, reporting, and analysis; KPI monitoring
- Target audience: production engineers, process specialists, operational managers, data analysts
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Topics covered:
- Managing and structuring data in Excel
- Formulas, Pivot Tables, and creating dashboards
- Automation in Excel (macros, repetitive tasks)
- Introduction to AI for predictive maintenance, production optimization, and defect detection
- Integrating AI results into Excel dashboards for decision-making
- Best practices for applying AI and data analysis in production processes
