Reliability Engineering Statistics (2026) — 94% OFF Discount Coupon

Reliability Engineering Statistics: Probability, SPC, Hypothesis Testing, Distributions and Data Analysis Essentials

★4.6 out of 5
4,801 students
Created by Ray Harkins, The Manufacturing Academy
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Reliability Engineering Statistics (2026) before you enroll:

•Course Name: Reliability Engineering Statistics (2026)
•Platform: Udemy
•Instructor: Ray Harkins, The Manufacturing Academy
•Coupon Last Verified: April 12, 2026
•Level: All Levels
•Topic: Teaching & Academics
•Subtopic: Engineering
•Total Time: 9h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Reliability engineering probability and statistics · How to use Excel for reliability calculations · Continuous distributions like normal, lognormal, exponential, and Weibull
•Requirements: Basic knowledge of Microsoft Excel · Basic knowledge of statistics and engineering
•Current Price: $9.99 (was $159.99). You save $150.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master

By the end of Reliability Engineering Statistics (2026), you'll have these practical skills:

✓Reliability engineering probability and statistics .
✓How to use Excel for reliability calculations .
✓Continuous distributions like normal, lognormal, exponential, and Weibull .
✓Discrete distributions like binomial, poisson, geometric and hypergeometric .
✓Reliability block diagrams (series, parallel, and k of n configurations) .
✓Process capability analysis (Cp, Pp, Cpk and Ppk) .
✓Building and interpreting control charts .
✓Definitions for common reliability terms .
✓Modality, skew and kurtosis .
✓Confidence intervals .
✓Preparation for ASQ's Certified Reliability Engineering exam.

What You Need Before Starting

Before enrolling in Reliability Engineering Statistics (2026), make sure you have:

•Basic knowledge of Microsoft Excel
•Basic knowledge of statistics and engineering
•Analytical mindset

About This Udemy Course

The following is the full official course description for Reliability Engineering Statistics (2026) as published on Udemy by instructor Ray Harkins, The Manufacturing Academy:

Welcome to the Manufacturing Academy's Reliability Engineering Statistics (2026) … the one course you need to propel your career in reliability forward!

Reliability is the ability of a product, system, or process to perform its intended function without failure over a specified period of time. Reliability engineering focuses on the analysis and management of factors that affect product performance, ensuring systems function as intended and minimizing the risk of failures.

As industries increasingly prioritize quality and performance, the demand for reliability engineers has grown. These professionals play a critical role in product design by ensuring that products are durable and perform consistently over time. They are also key drivers of process optimization, using data-driven insights to enhance efficiency and reduce variability.

What You’ll Learn:
  • Based on the American Society of Quality's (ASQ) Body of Knowledge for the Certified Reliability Engineer (CRE) exam, 2024 edition, this course steps through the foundational statistical tools and methods used by leading reliability engineers to make informed decisions and improve product and process reliability.
  • Comprehensive coverage of the following 8 major areas of Reliability Engineering Statistics including:
  • Basic statistics: Population, parameter, sample, and statistic, the central limit theorem, methods to estimate and interpret statistical values.
  • Probability concepts: Independence, mutually exclusive events, conditional probability, probability tools such as probability trees and expected frequency trees.
  • Probability distributions and functions: Statistical distributions such as binomial, Poisson, exponential, Weibull, normal, log-normal, chi-square, and Student’s t distribution, and how to use them to analyze reliability data. How to interpret probability plots for each continuous distribution. Goodness of fit to a distribution. The family of probability functions including PDF, CDF, reliability, and hazard functions and how they interrelate.
  • Sampling plans: Theories, tables, and formulas to determine appropriate sample sizes.
  • Hypothesis Testing: Hypothesis testing with t and Z distributions, error types, paired comparison tests, F tests, testing for proportions, and more.
  • Nonparametric Statistics: Mann-Whitney test, Kruskal-Wallis test, Mood’s Median test, Wicoxon Signed Rank test, dealing with censored data, and Kaplan-Meier test.
  • Statistical process control (SPC): Control charting, capability studies, Cp, Cpk, Pp, and Ppk.
  • Confidence and Tolerance intervals: Confidence intervals, tolerance intervals, Assessing the use of confidence and tolerance intervals for reliability analysis using Weibull, normal, and lognormal distributions.
So whether you're working your way into a career in reliability engineering, studying for the ASQ Certified Reliability Engineer (CRE) exam, or simply aiming to expand your knowledge base in product design and engineering, our Reliability Engineering Statistics (2026) course has what you need!

New Topics for the 2026 Edition of the Course:
  • Geometric Distribution
  • Hypergeometric Distribution
  • Anderson Darling Test of Normality
  • Nonparametric Methods like the Sign, Wilcoxon-Mann, Friedman Tests and More
  • All associated Excel templates
Who Should Enroll:
  • Reliability Engineers: If you're already working in reliability engineering and want to refine your statistical skills, this course will help you deepen your expertise in analyzing and optimizing system performance.
  • Quality Engineers and Managers: Professionals focused on ensuring product quality will benefit from understanding how reliability statistics can support long-term quality and minimize defects in products and processes.
  • Manufacturing and Process Engineers: Those involved in process optimization and system design will find valuable tools for improving operational efficiency and product reliability.
  • Product Designers and Development Engineers: Engineers working on product development will gain insights into how to incorporate reliability into the design phase to enhance product longevity and reduce the likelihood of failure.
  • Data Analysts and Engineers: If you have a background in data analysis and want to apply your skills to the realm of reliability engineering, this course will introduce you to specialized statistical techniques used in the field.
Whether you're just starting out or are seeking to expand your skillset, this course will provide practical, data-driven methods for enhancing reliability across a wide range of industries.

What You Get:
  • 9+ hours of rich video-based instruction (OVER 120 lectures!!)
  • A CRICITICAL RESOURCE for professionals preparing to take the American Society for Quality’s (ASQ's) 2024 edition of the Certified Reliability Engineer (CRE) exam
  • 60 downloadable resources including Excel templates, "cheat sheets", and an assortment of useful diagrams and tables.
  • LOTS OF Practice Exercises at the end of each section and an exam at the end covering reliability engineering statistics concepts and terms.
  • A Glossary of Terminology with detailed definitions covering not only the major ideas of engineering statistics, but also key ideas from the broader field of reliability.
  • LIFETIME ACCESS to all course materials AND all other materials we may add later.
  • A personalized Certificate of Completion with your name, the course's name, and the time duration of the course (useful for fulfilling the need of some CEU requirements)
  • Q&A access through the Udemy platform to a 30+ year manufacturing, quality, engineering, and business professionals.
What did other students say about our Reliability Engineering Statistics course?
  • "I love how all different concepts are combined into a single course with wonderful examples and how each concept differs from the other" - N. Dubey
  • "I can't really think of a better and practical short course regarding Reliability Statistics than this, thank you very much for the content" - A. Dutta
  • "Well documented, well presented and generously resourced." - P. Dzitac
  • "This is a course I have been yearning for! I am so excited to go through this course and come out strong to ace my CRE Exam next year. Much thanks." - O. Martins

Don't miss this opportunity to distinguish yourself in the competitive worlds of design, engineering, and manufacturing. Enroll today and take the first step toward achieving your professional goals!

ASQ® is the registered trademark of the American Society for Quality.

The Manufacturing Academy Inc. is an independent training provider that is neither associated nor affiliated with the ASQ or any other certifying organization.

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Is the Reliability Engineering Statistics (2026) Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 12, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Reliability Engineering Statistics (2026) is a high-value resource for learners seeking to build skills inTeaching & Academics. Taught by Ray Harkins, The Manufacturing Academy on Udemy, the 9h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 94%, from $159.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 4,801 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Reliability Engineering Statistics (2026):

  • The depth of Teaching & Academics coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Reliability Engineering Statistics (2026) Course holds an aggregate rating of 4.6 out of 5 based on 4,801 student reviews on Udemy.

4.6
★★★★★
4,801 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Ray Harkins, The Manufacturing Academy, the instructor responsible for creating and maintaining Reliability Engineering Statistics (2026) on Udemy.

Reliability Engineering Statistics (2026) is taught by Ray Harkins, The Manufacturing Academy, a Udemy instructor specializing in Teaching & Academics. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Ray Harkins, The Manufacturing Academy
•Subject Area: Teaching & Academics
•Teaching Approach: Practical, project-based instruction focused on real-world application of Teaching & Academics skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Reliability Engineering Statistics (2026), its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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