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    DROSIA SERENITY
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    Master Statistical Process Control in Excel: Control Charts

    Posted By: lucky_aut
    Master Statistical Process Control in Excel: Control Charts

    Master Statistical Process Control in Excel: Control Charts
    Duration: 3h 50m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.57 GB
    Genre: eLearning | Language: English

    Using and Applying Control Charts in Industry

    What you'll learn:
    Statistical Process Control
    how to use and interpret Control Charts
    how to understand Process Variation
    Six Sigma concepts and tools
    Process Improvement concepts and tools
    Continuous Improvement concepts and tools
    how to perform statistical Data Analysis
    Statistics
    Data Visualizations

    Requirements:
    Basic Excel Skills (Formulas, Charts)
    Basic knowledge of statistics (Mean, St. Dev, normal distribution)

    Description:
    Statistical process control and control charts are an important part of operations management.  For years, these tools have been used in all kinds of industries including healthcare, manufacturing, software development finance and Human Resources. With the increasing accessibility and the increasing demand for data analysis and data-based decision making, control charting is an important tool to be able to create, understand and apply.
    This course will walk through the fundamentals of what control charts are, what insights can be gathered from them and how different control charts can be used to answered different strategic and operational questions.
    Each module features several lectures, downloadable lecture files and a quiz to test your learning.
    Additionally, The course features an entire module tackling specific real-world cases for using control charts and statistical process control.

    Topics covered include:
    Module 1:
    The history of statistical process control (SPC) and control charting
    Parts of a control chart
    Advantages of using control charts
    Types of control charts (I chart, U chart, P chart, etc.)

    Module 2:
    Key assumptions
    Change in mean signals
    External influence signals
    Change in process stability/capability signals

    Module 3:
    Exercises for building individual range charts
    Exercises for building moving range charts
    Exercises for building P charts
    Exercises for building U charts


    Module 4:
    Applying control charts to hospital wait times
    Applying control charts to manufacturing process control
    Applying control charts to A/B testing in software development
    Applying control charts to an inspection process

    Module 5:
    Control Chart Case Examples

    Who this course is for:
    Six Sigma Green Belt
    Six Sigma Yellow Belt
    Operations Managers
    Process Engineers
    Design Engineers
    Industrial Engineers
    Data Analysts
    Statisticians
    Quality Engineers
    Quality Managers

    More Info