Quality Engineering Statistics
$74.99
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Description

This course, Quality Engineering Statistics, is the most comprehensive course of its kind on Udemy. Featuring over 100 videos, this course covers all the analytical methods you need to succeed as a quality engineer, technician or manager. Plus its analytical methods - many of which are detailed in Microsoft Excel - will also serve industrial, manufacturing and process engineers and managers very well. For those interested in preparing for the ASQ Certified Quality Engineer's exam, this course covers all topics in the Quantitative Methods and Tools section of their July 2022 Body of Knowledge. But for those not interested in taking a certification exam, this course covers a very wide range of topics that will certainly help advance your career as a quality professional. Topic covered include: A. Collecting and Summarizing Data 1. Types of data 2. Measurement scales 3. Data collection methods 4. Data accuracy and integrity 5. Data visualization techniques 6. Descriptive statistics 7. Graphical methods for depicting distributions B. Quantitative Concepts 1. Terminology 2. Drawing statistical conclusions 3. Probability terms and concepts C. Probability Distributions 1. Continuous distributions 2. Discrete distributions D. Statistical Decision-Making 1. Point estimates and confidence intervals 2. Hypothesis testing 3. Paired-comparison tests 4. Goodness-of-fit tests 5. Analysis of variance (ANOVA) 6. Contingency tables E. Relationships Between Variables 1. Linear regression 2. Simple linear correlation 3. Time-series analysis F. Statistical Process Control (SPC) 1. Objectives and benefits 2. Common and special causes 3. Selection of variable 4. Rational subgrouping 5. Control charts 6. Control chart analysis 7. Short-run SPC G. Process and Performance Capability 1. Process capability studies 2. Process performance vs. specifications 3. Process capability indices 4. Process performance indices H. Design and Analysis of Experiments 1. Terminology 2. Planning and organizing experiments 3. Design principles 4. Full-factorial experiments 5. Two-level fractional factorial experimentsFar more than a simple exam prep class, Quality Engineering Statistics is taught by two hands on, senior manufacturing professionals that share DOZENS of real-life examples and case studies drawn from their decades of experience. If want to advance your analytical skill set and prepare yourself to solve increasingly complex problems in the workplace, then this is the class for you! Quality Engineering Statistics will give you teach you the skills you need to tackle the toughest problems in industry, and as a result, advance your career as a manufacturing quality professional. SIGN UP TODAY!!

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