Quality Engineering Statistics from Udemy

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 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 experiments

Far 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.

What's inside

Learning objectives

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

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

Syllabus

Introduction to the Course

Course Contents

Practice Exercises

Comments about the Use of Software

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers all topics in the "Quantitative Methods and Tools" section of the ASQ Certified Quality Engineer Body of Knowledge, which is helpful for certification

Features dozens of real-life examples and case studies drawn from the instructors' decades of experience, which helps learners apply concepts to real-world scenarios

Includes practice problems and answer keys, which allows learners to test their knowledge and reinforce their understanding of the material

Teaches how to perform statistical operations in Microsoft Excel, which is a widely accessible tool for data analysis

Explores statistical process control (SPC), process and performance capability, and design and analysis of experiments, which are essential for quality improvement

Requires Microsoft Excel, which may require learners to purchase a license if they do not already have access to the software

Reviews summary

Comprehensive quality engineering statistics

According to students, this course provides a very comprehensive look at quality engineering statistics, bundling many topics into one package. Learners find it one of the best courses available on the subject, with well prepared and engaging teachers. It's highlighted as excellent stuff for SPC and practical applications, even for those who may struggle with traditional math, helping them become fully aware of how to use statistics and successfully interpret data.

Makes statistics clear for diverse backgrounds.

"Graduated from Social Sciences and I am terrible at Math, Calculus, etc. ... Now I am fully aware..."

"Your style is great."

Helps apply statistics like SPC.

"Excellent stuff for SPC."

"Now I am fully aware of how to use statistics, SPC, and how to successfully interpret the data."

Instructors are well prepared and engaging.

"Your style is great."

"Well prepared and engaging teachers."

Considered among the best on the topic.

"One of the best courses I have seen on this topic."

"One of the best Udemy's courses I've ever attended."

Covers many topics in one place.

"This class is very comprehensive on the subject of statistics as it applies to the field of Quality Engineering."

"I don't remember a class consolidating all these topics into one package."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Quality Engineering Statistics with these activities:

Review Basic Statistics Concepts

Show steps

Reinforce your understanding of fundamental statistical concepts to better grasp the more advanced topics covered in the course.

Browse courses on Descriptive Statistics

Show steps

Review definitions of key statistical terms.
Work through basic probability problems.
Practice calculating descriptive statistics.

Read 'Statistics for Dummies'

Show steps

Solidify your understanding of basic statistical principles and terminology.

View Probability For Dummies on Amazon

Show steps

Read the chapters covering descriptive statistics.
Focus on sections explaining probability distributions.
Review the material on hypothesis testing.

Practice Problems in Excel

Show steps

Enhance your ability to perform statistical calculations in Excel, as the course emphasizes using Excel for analysis.

Show steps

Find practice datasets online.
Calculate descriptive statistics using Excel functions.
Create charts and graphs to visualize data.
Perform hypothesis tests using Excel's statistical tools.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a Statistical Process Control Chart

Show steps

Apply your knowledge of SPC by creating a control chart for a real-world process, reinforcing your understanding of control limits and process variation.

Show steps

Identify a process to monitor.
Collect data on the process over time.
Calculate control limits using appropriate formulas.
Create a control chart in Excel.
Analyze the chart for out-of-control points.

Design of Experiments Project

Show steps

Apply the principles of Design of Experiments (DOE) to optimize a process or product, solidifying your understanding of factorial experiments.

Show steps

Define a problem or process to improve.
Identify factors and levels to test.
Create a full or fractional factorial design.
Conduct the experiment and collect data.
Analyze the results and draw conclusions.

Read 'The Certified Quality Engineer Handbook'

Show steps

Deepen your understanding of quality engineering principles and prepare for the ASQ Certified Quality Engineer exam.

View The ASQ CQE Study Guide on Amazon

Show steps

Review the sections on quantitative methods and tools.
Study the chapters on statistical process control.
Focus on the material related to design of experiments.

Tutor other students

Show steps

Reinforce your understanding of the material by explaining concepts to others and answering their questions.

Show steps

Offer to help classmates who are struggling.
Explain statistical concepts in simple terms.
Work through practice problems together.

Career center

Learners who complete Quality Engineering Statistics will develop knowledge and skills that may be useful to these careers:

Quality Engineer

As a quality engineer, you proactively assess processes and products to identify areas for improvement and ensure adherence to quality standards. This course, Quality Engineering Statistics, helps quality engineers build a strong foundation in the quantitative methods and tools essential for the role. It covers data collection, statistical decision making, control charting, process capability analysis, and design of experiments. Specifically, the course will be useful for those preparing for the ASQ Certified Quality Engineer exam. Through real-world case studies and instruction using Microsoft Excel, Quality Engineering Statistics provides practical skills for a quality engineer seeking to solve complex problems and advance their career.

See salaries and explore the career path for Quality Engineer

Process Engineer

Process engineers develop and optimize manufacturing processes to improve efficiency and reduce costs. Quality Engineering Statistics provides valuable skills for process engineers who need to analyze data and make informed decisions. The course helps process engineers build a foundation in statistical process control, process capability analysis, and design of experiments which can be used to optimize manufacturing processes. The modules on data collection methods, descriptive statistics, and regression analysis are particularly useful for a process engineer.

See salaries and explore the career path for Process Engineer

Manufacturing Engineer

Manufacturing engineers are responsible for designing, implementing, and improving manufacturing processes and systems. The Quality Engineering Statistics course can help manufacturing engineers improve their analytical skills and make data-driven decisions. The coverage of statistical process control (SPC), process capability analysis, and design of experiments directly applies to optimizing manufacturing processes and ensuring product quality. The course's emphasis on using Microsoft Excel for statistical operations makes it accessible and practical for manufacturing engineer professionals.

See salaries and explore the career path for Manufacturing Engineer

Industrial Engineer

Industrial engineers improve efficiency in organizations, specifically in the supply chain, processes and product cycle, and design optimized workflows. This Quality Engineering Statistics course helps industrial engineers understand and apply statistical methods to improve processes and reduce waste. With topics such as statistical process control and experimental design, industrial engineers can optimize processes and improve productivity. The module on time study analysis is helpful for the industrial engineer.

See salaries and explore the career path for Industrial Engineer

Data Analyst

Data analysts interpret data to identify trends, patterns, and insights that can inform business decisions. The comprehensive coverage of statistical concepts and tools in Quality Engineering Statistics provides a foundation for a data analyst to improve their analytical problem-solving skills. Topics such as data visualization, descriptive statistics, probability distributions, hypothesis testing, and regression analysis all help data analysts derive insights from data. Using Microsoft Excel for statistical operations makes the course's teachings accessible and practical.

See salaries and explore the career path for Data Analyst

Quality Control Inspector

As a quality control inspector, one examines products and materials to ensure they meet established quality standards. The Quality Engineering Statistics course provides quality control inspectors with a strong foundation in the statistical methods used to assess product quality. The course's coverage of data collection, descriptive statistics, and statistical process control provides quality control inspectors with the tools they need to make informed decisions about product acceptance or rejection. The course is designed to help quality control inspectors improve their analytical skills and advance their careers.

See salaries and explore the career path for Quality Control Inspector

Reliability Engineer

Reliability engineers focus on ensuring the reliability and durability of products and systems. Quality Engineering Statistics can help reliability engineers understand and apply statistical methods to assess and improve product reliability. The course covers statistical process control, process capability analysis, and design of experiments, all of which are valuable in identifying and addressing potential reliability issues. A reliability engineer may benefit from topics such as data collection methods, descriptive statistics, and probability distributions.

See salaries and explore the career path for Reliability Engineer

Statistical Analyst

Statistical analysts apply statistical methods to collect, analyze, and interpret numerical data for informed decision-making. Quality Engineering Statistics may be useful for statistical analysts by providing a deep dive into statistical concepts and methodologies. The course's coverage of hypothesis testing, ANOVA, regression, and time series analysis provides a broad range of statistical tools applicable to various analytical tasks. The course's statistical decision-making section is crucial for a statistical analyst.

See salaries and explore the career path for Statistical Analyst

Business Intelligence Analyst

Business intelligence analysts analyze data to identify trends and insights that can help a business make better decisions. Quality Engineering Statistics provides business intelligence analysts with a strong foundation in the statistical methods used to analyze data and draw conclusions. The course's coverage of data collection, descriptive statistics, and regression analysis helps business intelligence analysts identify trends, predict future outcomes, and develop data-driven solutions. The dashboards section of this course is useful for a business intelligence analyst.

See salaries and explore the career path for Business Intelligence Analyst

Statistician

Statisticians develop and apply statistical theories and methods to collect, interpret, and summarize numerical data. Quality Engineering Statistics may be useful for statisticians by providing a focused application of statistical methods in the context of quality engineering. The course's deep dive into statistical decision making, experimental design, and process control provides practical insights and tools for statisticians working in manufacturing or related industries. A statistician might use these skills to help improve quality control.

See salaries and explore the career path for Statistician

Research and Development Scientist

Research and development scientists conduct experiments and analyze data to develop new products and processes. Quality Engineering Statistics may be useful for scientists by providing a foundation in statistical methods for experimental design and data analysis. The course's coverage of hypothesis testing, ANOVA, and regression analysis helps R&D scientists design effective experiments, analyze their results, and draw valid conclusions. The course is taught by senior manufacturing professionals.

See salaries and explore the career path for Research and Development Scientist

Test Engineer

Test engineers design and implement testing procedures to evaluate product performance and identify defects. The Quality Engineering Statistics course may be useful for test engineers by providing a grounding in statistical methods for analyzing test data and drawing conclusions about product quality. The course's coverage of hypothesis testing, ANOVA, and regression analysis helps test engineers design effective tests and interpret the results. A test engineer might benefit from the course's design and analysis of experiments.

See salaries and explore the career path for Test Engineer

Supply Chain Analyst

Supply chain analysts optimize the flow of goods and materials from suppliers to customers. Quality Engineering Statistics can help supply chain analysts improve their analytical skills and make data-driven decisions to improve supply chain efficiency. The course's coverage of data collection, descriptive statistics, and time series analysis helps supply chain analysts identify trends, predict demand, and optimize inventory levels. The course helps supply chain analysts use Microsoft Excel, which is often useful in their daily work.

See salaries and explore the career path for Supply Chain Analyst

Management Consultant

Management consultants help organizations improve their performance by analyzing problems and developing solutions. Quality Engineering Statistics can provide management consultants with a foundation in statistical methods for analyzing data and identifying areas for improvement. The course's coverage of data collection, descriptive statistics, and statistical decision making enables management consultants to assess an organization's performance and recommend data-driven solutions. The data visualization section might come in handy for a management consultant who presents to clients regularly.

See salaries and explore the career path for Management Consultant

Compliance Manager

Compliance managers ensure that an organization adheres to relevant laws, regulations, and internal policies. Quality Engineering Statistics aids compliance managers in industries where statistical analysis is used to monitor and demonstrate compliance. The course's coverage of statistical process control, process capability analysis, and data analysis techniques enables compliance managers to assess an organization's performance against established standards. The data integrity and accuracy sections help compliance managers ensure the reliability of data used for compliance reporting.

See salaries and explore the career path for Compliance Manager

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Quality Engineering Statistics.

The ASQ CQE Study Guide

Save

This handbook comprehensive resource for quality engineers, covering a wide range of topics relevant to the field. It's particularly useful for those preparing for the ASQ Certified Quality Engineer exam, as it aligns with the Body of Knowledge. It serves as a valuable reference for understanding quality management principles and practices. adds depth to the course by providing real-world examples and case studies.

The ASQ CQE Study Guide

Ring-bound

$$$

Probability For Dummies

Save

Provides a clear and accessible introduction to statistical concepts. It's particularly helpful for those who need a refresher on the basics before diving into more complex topics. It can serve as a useful reference for understanding statistical terminology and methods. While not a substitute for a comprehensive textbook, it offers a friendly and approachable overview.

Probability For Dummies

Paperback

Quality Engineering Statistics

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Comprehensive quality engineering statistics

Activities

Career center

Reading list

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