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AI, Machine Learning & Data ScienceUdemy2021-11 Edition100% Free Video Course

Reliability Engineering Statistics

Reliability Engineering Statistics is a basic probability and statistics training course for understanding reliability engineering published by Udemy Online Academy. Reliability engineering is a sub-discipline of systems engineering that focuses on ensuring that products, systems and components operate without failure under specified conditions for a specified period of time. The main objective is to minimize the probability of failure and ensure consistent performance, safety and maintenance. This field is used in various industries such as aerospace, automotive, production and information technology. Reliability engineering is essential for designing, developing, and maintaining systems that operate reliably and efficiently.By applying systematic methods and best practices, reliability engineers can identify potential failure modes, implement preventive measures, and optimize system performance. This field plays an important role in increasing the safety, quality and lifespan of products and systems in various industries. In this training course, you will get to know the basic and basic concepts of reliability engineering and you will be prepared to learn more advanced topics about it. In this training course, you will be introduced to topics such as continuous distributions, working with distributions in Microsoft Excel, permutations, combinations, Venn diagrams, construction and interpretation of control charts, process capability analysis and block evaluation of reliability diagrams. .

59 Video Lessons
29.3 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Reliability Engineering Statistics
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Course Features:
29.3 hours on-demand video
59 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Reliability engineering probabilities and statistics
How to use Excel for reliability calculations
Reliability block diagrams
Process capability analysis
Definitions of common reliability terms
Modality, skewness and elongation
Preparation for the ASQ Certified Reliability Engineering Exam
And …

Course Curriculum59 Lectures

1 sections • 29.3 hours total length

Prefer offline learning? Download all 59 video lectures and project files for free.
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Reliability Definitions, Pt 1
Preview
21m
Introduction to Mark
Preview
24m
Motivations for Achieving Certification
38m
Introduction to the Course
1h 26m
Reliability Definitions, Pt 2
50m
Reliability Definitions, Pt 3
58m
Probability
47m
Permutations and Combinations
27m
Venn Diagrams
22m
Probability Distributions in Reliability Engineering
25m
Central Limit Theorem
51m
Binomial Distribution, Pt 1
29m
Binomial Distribution, Pt 2
30m
Binomial Distribution in Excel, Pt 3
9m
Factorials and the Binomial Distribution
51m
More Reliability Definitions
30m
Poisson Distribution, Pt 1
29m
Poisson Distribution, Pt 3
8m
Poisson Distribution, Pt 2
30m
Geometric Distribution, Pt 1
36m
Geometric Distribution, Pt 2
24m
Geometric Distribution in Excel, Pt 3
9m
Reliability Block Diagrams, Pt 1
5m
Reliability Block Diagrams, Pt 2
14m
r out of n Configurations
11m
Hypergeometric Distribution, Pt 2
26m
Hypergeometric Distribution, Pt 1
43m
Exponential Distribution, Pt 2
36m
Exponential Distribution, Pt 1
40m
Exponential Distribution in Excel, Pt 3
6m
Normal Distribution, Pt 3
5m
Normal Distribution, Pt 1
46m
Normal Distribution, Pt 2
28m
Z Score and the Standard Normal Distribution
27m
Modality
5m
Skew
14m
Kurtosis
25m
Interpreting Control Charts, Pt 1
12m
Interpreting Control Charts, Pt 2
17m
Basics of Control Charting
1h 11m
Cpk in Excel
37m
Capability Analysis
48m
Ppk in Excel
17m
Reliability Engineering Resources
46m
Lognormal Distribution, Pt 2
11m
Lognormal Distribution, Pt 1
39m
Drawback of the Lognormal Distribution
38m
Weibull Distribution in Excel, Pt 3
3m
Weibull Distribution, Pt 1
44m
Weibull Distribution, Pt 2
20m
Confidence Intervals, Pt 1
43m
Statistical Confidence Program, Pt 4
20m
Confidence Intervals, Pt 3
19m
Confidence Intervals, Pt 2
48m
Chi Square Distribution, Pt 1
33m
Chi Square Distribution in Excel, Pt 3
19m
Chi Square Distribution, Pt 2
55m
Conclusion to the Course
10m
Bonus Lecture
43m

Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

Reliability Engineering Statistics is a basic probability and statistics training course for understanding reliability engineering published by Udemy Online Academy. Reliability engineering is a sub-discipline of systems engineering that focuses on ensuring that products, systems and components operate without failure under specified conditions for a specified period of time. The main objective is to minimize the probability of failure and ensure consistent performance, safety and maintenance. This field is used in various industries such as aerospace, automotive, production and information technology. Reliability engineering is essential for designing, developing, and maintaining systems that operate reliably and efficiently.By applying systematic methods and best practices, reliability engineers can identify potential failure modes, implement preventive measures, and optimize system performance. This field plays an important role in increasing the safety, quality and lifespan of products and systems in various industries. In this training course, you will get to know the basic and basic concepts of reliability engineering and you will be prepared to learn more advanced topics about it. In this training course, you will be introduced to topics such as continuous distributions, working with distributions in Microsoft Excel, permutations, combinations, Venn diagrams, construction and interpretation of control charts, process capability analysis and block evaluation of reliability diagrams. .

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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