Quality Engineering Statistics

The tools, theories, and case studies you need to understand the analytical methods of quality engineering

What you'll learn
Collecting and summarizing data including type of data, measurement scales, collection methods, visualization techniques, and descriptive statistics
Statistics and probability terminology and concepts
Statistical decision making including point estimates, confidence intervals, hypothesis testing, paired comparison tests, goodness of fit tests, ANOVA and more
Tools for examining the relationships between variables such as linear regression, correlation, and time series analysis.
Control charting: Objective and benefits, common and special causes, variable charts, attribute charts, interpreting the results, and short run SPC
Process capability analysis: Pp, Ppk, Cp, Cpk, control limits, specification limits, and interpreting actual histograms and capability indices
Design and analysis of experiments: Terminology, planning and organizing experiments, replication, balance, order and more; full and fractional factorial
All topics in the "Quantitative Methods and Tools" section of the ASQ Certified Quality Engineer Body of Knowledge

Requirements
Basic understanding of manufacturing
Basic math and spreadsheet skills

Description
Are you familiar with basic statistical concepts, but need a better understanding of them?Have you tried to learn more advanced topics like Design of Experiments (DOE) and probability distributions, but couldn't find an instructor that explained without a bunch of obscure jargon?Would you prefer performing common statistical operations in Microsoft Excel instead of an expensive software program?Would you like to advance your analytical problem-solving skills?If you said "Yes" to any of these questions, then look no more!! Quality Engineering Statistics is the course you need because a strong foundation in quality statistics doesn't have to be difficult to learn.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, quality technician or quality 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 distributionsB. Quantitative Concepts 1. Terminology 2. Drawing statistical conclusions 3. Probability terms and conceptsC. Probability Distributions 1. Continuous distributions 2. Discrete distributionsD. 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 tablesE. Relationships Between Variables 1. Linear regression 2. Simple linear correlation 3. Time-series analysisF. 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 SPCG. Process and Performance Capability 1. Process capability studies 2. Process performance vs. specifications 3. Process capability indices 4. Process performance indicesH. 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.And in addition to the 13+ hours of video-based instruction, you also get:Lifetime access to all course materials including everything we might add after your purchase.50 quiz questions (5 to 7 at the end of each section).A set of detailed practice problems at the end of each section.Answer keys for each of the problem sets.Q&A access to the course instructors through Udemy.Certificate of Completion that includes your name, the course title, and the number of course hours.Plus read what former students have said about Quality Engineering Statistics:"This class is very comprehensive on the subject of statistics as it applies to the field of Quality Engineering. Although I've been through many courses over the years on various topics covered in this class, I don't remember a class consolidating all these topics into one package." - William F."One of the best courses I have seen on this topic." - Willie C."Excellent stuff for SPC. I graduated from Social Sciences and I am terrible at Math, Calculus, etc. … Now I am fully aware of how to use statistics, SPC, and how to successfully interpret the data. Thank you so much. Your style is great." - Erhan C."One of the best Udemy's courses I've ever attended! Well prepared and engaging teachers!" - Andrea T.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!!

Who this course is for:
Quality engineers, quality technicians, quality managers,Industrial engineers, manufacturing engineers,Manufacturing managers, operations managers,Students studying for the ASQ Certified Quality Engineer exam