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    Certified Quality Process Analyst Training

    Posted By: ELK1nG
    Certified Quality Process Analyst Training

    Certified Quality Process Analyst Training
    Last updated 1/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 8.54 GB | Duration: 18h 10m

    Certified Quality Process Analyst (CQPA) Exam Preparation Course - Confidently Pass the Exam on the First Attempt

    What you'll learn
    Successfully pass the Certified Quality Process Analyst (CQPA) in the first attempt. The course is fully aligned with the latest version of the Body of Knowledge.
    Confidently implement the proven quality management and quality engineering principles in your work areas.
    Build a strong foundation for your successful Quality Management career
    Requirements
    Some industry experience is preferred.
    Description
    You can use this course for two purposes:1. Passing the ASQ® CQPA certification exam. The course contains more than 200 practice questions.2. Understanding and implementing Quality Engineering principles to improve an organization's performanceNote: We are not a representative of ASQ®.  ASQ® is the registered trademark of the American Society for Quality.1. ASQ CQPA CERTIFICATION EXAM PREPARATION:This course is fully aligned with the updated Body of Knowledge.Sections and Marks Assigned to each section in the CQPA exam:Section I        Quality Concepts and Tools       Section II       Problem Solving and Improvement       Section III      Data Analysis        Section IV      Customer-Supplier Relations  Section V       Corrective and Preventive Action (CAPA)    2. LEARNING QUALITY AUDITING TO IMPROVE ORGANIZATION'S PERFORMANCE:Training your entry-level quality assurance, inspection and quality management team members to understand the basics of quality principles and apply best practices in their work areas.No need to pay $1000 to $3000 per person.  No need to send your people 3 to 5 days off from the work.Certificate of Completion provided.Download pdf study notes.Note: We are not a representative of ASQ®, IASSC® or any other certification organization.ASQ® is the registered trademark of the American Society for Quality.IASSC® is the registered trademark of the International Association for Six Sigma Certification.We are an independent training provider. We are neither associated nor affiliated with the certification organization(s) mentioned in our courses. The name and title of the certification exam mentioned in this course are the trademarks of the respective certification organization. We mention these names and/or the relevant terminologies only for describing the relevant exam processes and knowledge (i.e. Fair Use).

    Overview

    Section 1: Section 1: Quality Concepts and Tools (22 Questions)

    Lecture 1 1A Professional Conduct and Ethics

    Lecture 2 1B1 Quality

    Lecture 3 1B2 Quality Planning

    Lecture 4 1B3 Quality Standards Requirements and Specifications

    Lecture 5 1B4 Quality Documentation

    Lecture 6 1B5 Cost of Quality (CoQ)

    Lecture 7 1C1 Quality Audits - Audit Types - Part 1

    Lecture 8 1C1 Quality Audits - Audit Types - Part 2

    Lecture 9 1C2 Audit Components - Part 1 (Audit Criteria, Purpose and Scope)

    Lecture 10 1C2 Audit Components - Part 2 (Audit Planning and Preparation)

    Lecture 11 1C2 Audit Components - Part 3 (Audit Opening Meeting)

    Lecture 12 1C2 Audit Components - Part 4 (Data Collection and Interviews)

    Lecture 13 1C2 Audit Components - Part 5 (Audit Closing Meeting)

    Lecture 14 1C2 Audit Components - Part 6 (Audit Reporting)

    Lecture 15 1C2 Audit Components - Part 7 (Followup and Closure)

    Lecture 16 1C3 Audit Roles and Responsibilities

    Lecture 17 1D1 Team Dynamics - Types of Teams

    Lecture 18 1D2 Team Development

    Lecture 19 1D3 Team Stages

    Lecture 20 1D3 Team Roles and Responsibilities

    Lecture 21 1D4 Team Conflicts

    Lecture 22 1D4 Team Dynamics Part 1

    Lecture 23 1D4 Team Dynamics Part 2

    Lecture 24 1D4 Team Dynamics Part 3

    Lecture 25 1E Training and Evaluation

    Lecture 26 Download Section 1 Slides

    Section 2: Section II - Problem Solving and Improvement (22 Questions)

    Lecture 27 2A Process Improvement Concepts and Approaches - Part 1 (PDCA)

    Lecture 28 2A Process Improvement Concepts and Approaches - Part 2

    Lecture 29 2A Process Improvement Concepts and Approaches - Part 3

    Lecture 30 2A Process Improvement Concepts and Approaches - Part 4 (DMAIC)

    Lecture 31 2B Quality Tools - 1 Cause and Effects Diagram

    Lecture 32 2B Quality Tools - 2 Flowcharts

    Lecture 33 2B Quality Tools - 3 Checksheets

    Lecture 34 2B Quality Tools - 4 Pareto Charts

    Lecture 35 2B Quality Tools - 5 Scatter Diagrams

    Lecture 36 2B Quality Tools - 6 Control Charts

    Lecture 37 2B Quality Tools - 7 Histogram

    Lecture 38 2C1 Lean - Introduction

    Lecture 39 2C1 Lean - Set-up Reduction (SUR), SMED

    Lecture 40 2C1 Lean - Pull - including Just-in-Time (JIT) and Kanban

    Lecture 41 2C1 Lean - 5S

    Lecture 42 2C1 Lean - Continuous Flow Manufacturing (CFM)

    Lecture 43 2C1 Lean - Value Stream

    Lecture 44 2C1 Lean - Theory of Constraints (TOC)

    Lecture 45 2C1 Lean - Poka-Yoke

    Lecture 46 2C1 Lean - Total Productive/Predictive Maintenance (TPM)

    Lecture 47 2C2 Six Sigma

    Lecture 48 2C2 Six Sigma - Voice of the Customer (VoC)

    Lecture 49 2C3 Benchmarking

    Lecture 50 2C4 Risk Management - Part 1

    Lecture 51 2C4 Risk Management - Part 2

    Lecture 52 2C4 Risk Management - Part 3

    Lecture 53 2C4 Risk Management - Part 4

    Lecture 54 2C5 Business Process Management (BPM)

    Lecture 55 2D1 Basic Quality Management Tools - 1 Affinity Diagram

    Lecture 56 2D1 Basic Quality Management Tools - 2 Tree Diagrams

    Lecture 57 2D1 Basic Quality Management Tools - 3 PDPC

    Lecture 58 2D1 Basic Quality Management Tools - 4 Matrix Diagrams

    Lecture 59 2D1 Basic Quality Management Tools - 5 Interrelationship Digraph

    Lecture 60 2D1 Basic Quality Management Tools - 6 Prioritization Matrices

    Lecture 61 2D1 Basic Quality Management Tools - 7 Network Diagrams

    Lecture 62 2D2 Project Management Tools - Gantt Chart

    Lecture 63 2D2 Project Management Tools - Critical Path Method (CPM)

    Lecture 64 2D2 Project Management Tools - PERT

    Lecture 65 Download Section 2 Slides

    Section 3: Section 3: Data Analysis (33 Questions)

    Lecture 66 3A1 Basic Statistics - Data Analysis

    Lecture 67 3A1 Basic Statistics - Central Tendency

    Lecture 68 3A1 Basic Statistics - Dispersion or Spread

    Lecture 69 3A2 Basic Probability Distributions

    Lecture 70 3A2 Basic Probability Distributions - Binomial

    Lecture 71 3A2 Basic Probability Distributions - Poisson - Part 1

    Lecture 72 3A2 Basic Probability Distributions - Poisson - Part 2

    Lecture 73 3A2 Basic Probability Distributions - Weibull

    Lecture 74 3A2 Basic Probability Distributions - Normal - Part 1

    Lecture 75 3A2 Basic Probability Distributions - Normal - Part 2

    Lecture 76 3A2 Basic Probability Distributions - Skewed and Bimodal

    Lecture 77 3A3 Probability Concepts - Part 1

    Lecture 78 3A3 Probability Concepts - Part 2

    Lecture 79 3A3 Probability Concepts - Part 3

    Lecture 80 3A4 Reliability Concepts - Introduction

    Lecture 81 3A4 Reliability Concepts - Measures

    Lecture 82 3A4 Reliability Concepts - Availability

    Lecture 83 3A4 Reliability Concepts - Bathtub Curve

    Lecture 84 3A4 Reliability Concepts - Weibull Distribution

    Lecture 85 3B1 Measurement Scales

    Lecture 86 3B2 Data Types

    Lecture 87 3B3 Data Collection and Analysis

    Lecture 88 3B4 Data Integrity

    Lecture 89 3B5 Data Plotting

    Lecture 90 3C1 Sampling Methods

    Lecture 91 3C2 Acceptance Sampling - Introduction

    Lecture 92 3C2 Acceptance Sampling - Types of Errors

    Lecture 93 3C2 Acceptance Sampling - Standards

    Lecture 94 3C2 Acceptance Sampling - OC Curve

    Lecture 95 3C2 Acceptance Sampling - AQL and AOQL

    Lecture 96 3C2 Acceptance Sampling - Attribute Part 1

    Lecture 97 3C2 Acceptance Sampling - Attribute Part 2

    Lecture 98 3C2 Acceptance Sampling - Attribute Part 3

    Lecture 99 3C2 Acceptance Sampling - Attribute Part 4

    Lecture 100 3C2 Acceptance Sampling - Variable Sampling

    Lecture 101 3D Measurement System Analysis - Part 1

    Lecture 102 3D Measurement System Analysis - Part 2

    Lecture 103 3D Measurement System Analysis - Part 3

    Lecture 104 3E1 Control Limits and Specification Limits

    Lecture 105 3E1 Process Stability vs. Process Capability

    Lecture 106 3E2 Rational Subgroups

    Lecture 107 3E3 Selecting Attribute Control Charts

    Lecture 108 3E3 Control Charts for Attributes Data - NP Charts

    Lecture 109 3E3 Control Charts for Attributes Data - P Charts

    Lecture 110 3E3 Control Charts for Attributes Data - C Charts

    Lecture 111 3E3 Control Charts for Attributes Data - U Charts

    Lecture 112 3E4 Selecting Variable Control Chart

    Lecture 113 3E4 Control Charts for Variable Data - I-MR or X-MR Chart

    Lecture 114 3E4 Control Charts for Variable Data - X-bar R and Xbar S Charts

    Lecture 115 3E5 Common and Special Cause Variation

    Lecture 116 3E6 Process Capability Measures - Cp, Cpk

    Lecture 117 3E6 Process Capability Measures - Pp, Ppk

    Lecture 118 3F1 Regression and Correlation Models - Introduction

    Lecture 119 3F1 Correlation Coefficient

    Lecture 120 3F1 Regression Analysis

    Lecture 121 3F2 Hypothesis Testing - Introduction

    Lecture 122 3F2 Null and Alternate Hypothesis

    Lecture 123 3F2 Six Steps in Hypothesis Testing

    Lecture 124 3F2 Point and Interval Estimate

    Lecture 125 3F2 Confidence Interval Example 1

    Lecture 126 3F2 Confidence Interval Example 2

    Lecture 127 3F3 Design of experiments (DOE) - Introduction

    Lecture 128 3F3 Design of experiments (DOE) - Definitions

    Lecture 129 3F3 Design of experiments (DOE) - More Definitions

    Lecture 130 3F3 Design of experiments (DOE) - Plots

    Lecture 131 3F4 Taguchi Loss Function

    Lecture 132 3F4 Robust Design

    Lecture 133 3F5 Analysis of Variance (ANOVA) - Introduction

    Lecture 134 3F5 Analysis of Variance (ANOVA) - Explained

    Lecture 135 3F5 Analysis of Variance (ANOVA) - Formulas and Equations

    Lecture 136 Download Section 3 Slides

    Section 4: Section 4: Customer-Supplier Relations (15 Questions)

    Lecture 137 4A Internal and External Customers and Suppliers

    Lecture 138 4B Customer Satisfaction Methods - Part 1

    Lecture 139 4B Customer Satisfaction Methods - Part 2

    Lecture 140 4B Customer Satisfaction Methods - QFD Introduction

    Lecture 141 4B Customer Satisfaction Methods - QFD Demonstration

    Lecture 142 4C Product and Process Approval - Verification and Validation

    Lecture 143 4C Product and Process Approval - Qualification

    Lecture 144 4D1 Supplier Selection

    Lecture 145 4D2 Supplier Performance

    Lecture 146 4E Material Identification, Status and Traceability

    Lecture 147 Download Section 4 Slides

    Section 5: Section 5: Corrective and Preventive Actions (8 Questions)

    Lecture 148 5A Corrective Action

    Lecture 149 5B Preventive Action

    Lecture 150 5B Preventive Action - Failure Mode and Effects Analysis (FMEA)

    Lecture 151 Download Section 5 Slides

    Section 6: Bonus Section

    Lecture 152 Bonus Lecture

    Individuals attempting the Certified Quality Process Analyst (CQPA) exam,Quality Managers and Directors (who want to attempt their first quality certification),Other Quality Professionals interested in implementing the quality principles to improve their work processes