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 Duration 14 hours

Course Outline

Day 1 – Foundations 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 dashboards and KPI reports

Day 2 – Automation and Optimization

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

Requirements

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

 

  • Topics covered: connecting to multiple data sources and transforming them for analysis
  • Topics covered: creating automated data flows for KPI reporting and dashboards
  • Topics covered: best practices for data quality and data-driven decision-making

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