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Pareto-Analyse in Minitab – Tabtrainer® für Qualitätsprofis

Learn Pareto charts in Minitab! Analyze data, improve processes with histograms, coding, and data extraction. Practical skills for quality improvement.

Related:ETL Process
44m
Certificate
Prof. Dr. Murat Mola
Prof. Dr. Murat MolaProf. Dr. Mola - Professor of Operational Excellence (OPEX)

Course Content

Pareto-Analyse in Minitab – Tabtrainer® für Qualitätsprofis is an all-levels Udemy course taught by Prof. Dr. Murat Mola. It runs 44m, is taught in German, and includes a certificate of completion. It is a paid course, last updated May 2025.

Pareto Analysis with Minitab: Optimize Quality Management & Processes

Master the power of the Pareto analysis for effective quality management and process optimization with this hands-on Minitab training. Learn to identify the vital few causes impacting your business, driving significant improvements with the renowned 80/20 principle.

This course follows the journey of the Smartboard AG quality team as they leverage Pareto charts to analyze and improve supplier performance. You'll gain practical skills in Minitab to create, interpret, and apply Pareto diagrams for targeted problem-solving.

What you'll learn:

  • Creating Pareto Charts in Minitab: Step-by-step instruction on generating insightful Pareto diagrams.
  • Interpreting Pareto Charts: Understand how to extract actionable insights from Pareto analysis.
  • Applying the 80/20 Principle: Focus on the critical few factors driving the majority of issues – whether related to delivery problems, scrap reasons, or service deviations.
  • Data Transformation: Convert continuous data into categorical groups using techniques like thresholding and logical coding.
  • Minitab Calculator Function: Utilize Minitab's built-in calculator for data manipulation and grouping directly within your dataset.
  • Histograms for Distribution Analysis: Create and interpret histograms to understand data distribution, including the mathematical basis of bar width and class count.
  • Data Visualization: Visualize missing values, automate data extraction, and build custom evaluation tables using Minitab's logic functions.
  • Expanding Pareto Analysis: Generate Pareto charts for various categories like suppliers, shifts, or time periods to define clear goals within your KVP (Continuous Improvement) process.

Key Topics Covered:

  • Introduction to the Pareto Principle: Understand the core concepts and its importance in quality assurance.
  • Pareto Chart Creation & Interpretation: Master the process of building and analyzing Pareto diagrams.
  • Converting Metric Data to Categories: Learn methods for grouping data effectively.
  • Histogram Creation & Comparison: Develop proficiency in creating and comparing different histogram types.
  • Visualizing Frequency Distributions: Understand and interpret frequency distributions and class boundaries.
  • Leveraging the Minitab Calculator: Utilize the calculator function for efficient data analysis.
  • Handling Missing Data: Learn techniques for managing and addressing missing values in your datasets.
  • Creating Pie Charts for Complementary Visualization: Enhance data representation with pie charts.
  • Extracting Data with Cell Functions: Automate data extraction using Minitab's cell functions.
  • Applying Pareto Charts to Different Categorical Influences: Generate Pareto charts based on various factors to drive targeted improvements.

Who should attend?

This course is designed for:

  • Quality Management Professionals (QMB, Q-Officers, Auditors)
  • Production Managers & KVP Coordinators
  • Six Sigma Green & Black Belts
  • Logistics & Procurement Specialists
  • Data Analysts in Manufacturing

No prior advanced statistics knowledge is required. The course provides a step-by-step approach to ensure everyone can participate and succeed.

Your Trainer:

Prof. Dr. Murat Mola – A TÜV-certified Six Sigma Trainer, with extensive experience in industry and academia. Founder of Tabtrainer®, and recognized as Professor of the Year 2023 in Germany.

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