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Excel

Statistical Process Control

Learn how to analyze the accuracy and alignment of manufacturing processes using statistical tools. Veteran Excel trainer Curt Frye covers the three types of charts-P charts, C charts, and X-bar R charts-that are used to summarize the most common process metrics: proportion of defective output, number of defects, and variability of process outputs. He shows how to perform the analysis, plot the data, and interpret the results of each technique. He also how to examine processes from the customer's perspective using process capability analysis. Business analysts and support staff who help prepare documents, as well as executives and senior managers who might not have a statistical background, will use the skills in this course to analyze their organizations' processes and output.
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    Rating Not enough ratings
    Length 1h 14m
    Starts On Demand (Start anytime)
    Cost $29/month (Access to entire library- free trial available)
    From LinkedIn Learning
    Instructor Curt Frye
    Download Videos Only via the LinkedIn Learning mobile app
    Language English
    Subjects Business Data Science
    Tags Business Business Intelligence

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    SAP Logistics Processes $69k

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    Project Specialist Tools and Processes $104k

    Materials, Processes & Standards Engineer $106k

    Project Engineer - Engineering Processes $106k

    Parts, Materials and Processes Engineer $108k

    Materials & Processes Engineer 2 $124k

    Scientist, Materials and Processes $130k

    Materials and Processes Engineer Manager $140k

    Senior Materials and Processes Engineer $154k

    Materials & Processes Engineer Lead $165k

    Senior Materials & Processes Engineer $168k

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    LinkedIn Learning

    Rating Not enough ratings
    Length 1h 14m
    Starts On Demand (Start anytime)
    Cost $29/month (Access to entire library- free trial available)
    From LinkedIn Learning
    Instructor Curt Frye
    Download Videos Only via the LinkedIn Learning mobile app
    Language English
    Subjects Business Data Science
    Tags Business Business Intelligence

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