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Course Outline

Day 1 – Fundamentals and Data Processing

  • Introduction to Power Query and its role in data automation
  • Connecting to multiple data sources (ERP, CSV, Excel, databases)
  • Transforming and cleaning data for analysis and reporting
  • Merging and aggregating data from multiple sources
  • Structuring data for KPI dashboards and reports

Day 2 – Automation and Optimization

  • Creating automated data workflows for daily, weekly, and monthly reports
  • Generating integrated dashboards and production KPI reports
  • Managing and updating data without manual intervention
  • Best practices for auditing and ensuring data quality
  • Applying Power Query in manufacturing processes to enable data-driven decisions

Requirements

  • Understanding of: production processes, data flows, and KPI reporting
  • Experience with: Excel, Power Query, and the management and processing of production data
  • Programming experience: basic knowledge of M / Power Query or scripting for automation (optional)
  • Target audience: data analysts, production engineers, operations managers, process specialists

  • Covered topics: connecting to and transforming multiple data sources for analysis
  • Covered topics: creating automated data workflows for KPI reporting and dashboards
  • Covered topics: best practices for data quality and data-driven decision-making
 14 Hours

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