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Duration 14 hours
Course Outline
Day 1 – Advanced Data Analysis and Production Reporting
- Managing and structuring production data in Excel.
- Advanced formulas and functions for KPI analysis.
- Creating complex dashboards for reporting production line performance.
- Introduction to AI in data analysis: data preparation and trend identification.
- Integrating AI metrics into Excel for reporting and decision-making.
Day 2 – Optimization, Forecasting, and Data-Driven Decisions
- AI models for demand forecasting and predictive maintenance.
- Applying AI to identify anomalies and optimize processes.
- Creating integrated Excel + AI dashboards for KPI monitoring.
- Advanced analysis of performance and efficiency indicators.
- Strategies and best practices for data-driven and AI-based decision-making in manufacturing.
Requirements
- Understanding of: production processes, data analysis, KPI reporting, and AI concepts applied in manufacturing.
- Experience with: Advanced Excel (complex formulas, Pivot Tables, dashboards), data analysis, and KPI visualization.
- Target audience: Production engineers, data analysts, operations managers, and process specialists.
- Covered topics: Integrating AI with Excel for advanced production data analysis.
- Covered topics: Optimizing processes, forecasting demand, and implementing predictive maintenance using AI.
- Covered topics: Creating integrated Excel + AI dashboards for KPI monitoring and data-driven decision-making.
Testimonials (1)
well-prepared training, interesting topics
