Statistical Process Control (SPC) and Data Analysis Course

Statistical Process Control (SPC) and Data Analysis Course, available at $39.99, has an average rating of 2.4, with 34 lectures, based on 37 reviews, and has 134 subscribers.

You will learn about Understand SPC and key statistical concepts for process improvement Understand different types of control chart and explain control limits Understand the concepts of process control and process capability Understand the relationship between SPC and Six Sigma Demonstrate knowledge of control charts Understand key techniques for capturing data in quality State different guidelines and methods for data collection. This course is ideal for individuals who are Quality control/Quality Assurance personnel and managers or Quality management students and professionals or Project team members, coordinators, supervisors and managers. or Individuals who wish to learn or improve their knowledge of SPC. or Business leaders and managers, line supervisors/managers, customer service personnel and managers. or Engineers, manufacturing and production officers, technicians and technologists. It is particularly useful for Quality control/Quality Assurance personnel and managers or Quality management students and professionals or Project team members, coordinators, supervisors and managers. or Individuals who wish to learn or improve their knowledge of SPC. or Business leaders and managers, line supervisors/managers, customer service personnel and managers. or Engineers, manufacturing and production officers, technicians and technologists.

Enroll now: Statistical Process Control (SPC) and Data Analysis Course

Summary

Title: Statistical Process Control (SPC) and Data Analysis Course

Price: $39.99

Average Rating: 2.4

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $44.99

Quality Status: approved

Status: Live

What You Will Learn

Understand SPC and key statistical concepts for process improvement
Understand different types of control chart and explain control limits
Understand the concepts of process control and process capability
Understand the relationship between SPC and Six Sigma
Demonstrate knowledge of control charts
Understand key techniques for capturing data in quality
State different guidelines and methods for data collection.

Who Should Attend

Quality control/Quality Assurance personnel and managers
Quality management students and professionals
Project team members, coordinators, supervisors and managers.
Individuals who wish to learn or improve their knowledge of SPC.
Business leaders and managers, line supervisors/managers, customer service personnel and managers.
Engineers, manufacturing and production officers, technicians and technologists.

Target Audiences

Quality control/Quality Assurance personnel and managers
Quality management students and professionals
Project team members, coordinators, supervisors and managers.
Individuals who wish to learn or improve their knowledge of SPC.
Business leaders and managers, line supervisors/managers, customer service personnel and managers.
Engineers, manufacturing and production officers, technicians and technologists.

Statistical Process Control (SPC) refers to the use of statistical techniques to control a process, production or manufacturing method through monitoring of process behavior, as a result discovering issues related to internal systems, and allowing for corrective actions to be taken before failure occurs. The best decisions are made using facts and data. The collection and interpretation of data is equally important in manufacturing and service environments.

One major goal of this course is to enable you understand how to use SPC to prevent defects from occurring and to drive process improvement. In this course, you will learn how the process champion can utilize SPC in taking action to adjust or investigate process deviation. You will learn how to prevent inappropriate or unnecessary process errors and adjustments. With the help of this course, you will learn the different causes of variation and what actions to take when a process is drifting out of control. This course will enable you to detect issues relating to machine wear, operator setup issues, raw material changes, and differences between similar machines that can affect the quality of your final products.

You need this course, if you are a

Process engineer
Quality engineer and/or officer
Quality technician
Quality manager
Industrial engineer
Manufacturing professional

At the end of this course, you would be able to describe key concepts in SPC, different types of control charts, explain the concepts of process control, control limits and process capability. You would be able to apply different kinds of control charts for process monitoring. You would gain thorough understanding of key techniques for capturing data in quality and state the different guidelines and methods for data collection. The course contains a bonus section of statistical tools for product evaluation.

The course consists of FREE downloadable templates, white papers and other resources that you can practice with to enhance your skills or customize for your personal and/or professional usage.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Introduction I

Lecture 3: Introduction II

Lecture 4: Engineering Process Control (EPC) vs Statistical Process Control (SPC)

Lecture 5: History of SPC

Lecture 6: Organizations of SPC

Chapter 2: SPC Objectives and Statistical Data

Lecture 1: Objectives of SPC

Lecture 2: Statistical Data

Chapter 3: Data Analysis in Quality

Lecture 1: Statistics in Quality

Lecture 2: Types of Data

Lecture 3: Attribute Data

Lecture 4: Variable data

Lecture 5: Examples of continuous data, discrete data, and measurement scales

Lecture 6: Drawing Valid Statistical Conclusions

Lecture 7: Data Capturing in Quality

Lecture 8: Manual & Automatic Data Collection Methods

Chapter 4: Variations and Control Charts

Lecture 1: Variation and control charts

Lecture 2: Common Cause Variation

Lecture 3: Special Cause Variation

Chapter 5: Control Charts

Lecture 1: Control Charts

Lecture 2: Control Charts II

Lecture 3: Types of Control Chart I

Lecture 4: Types of Control Chart II

Lecture 5: Variable Control Chart

Lecture 6: Attribute Control Chart

Chapter 6: Process Capability

Lecture 1: Introduction and Definitions

Lecture 2: Why Monitor Process Capability

Lecture 3: Process Capability Indices I

Lecture 4: Process Capability Indices II

Lecture 5: Cp and Cpk Metrics

Chapter 7: Statistical Tools for Product Evaluation (Bonus Section)

Lecture 1: Scatter Diagram

Lecture 2: Pareto Chart

Lecture 3: Histogram

Lecture 4: Check sheets

Instructors

Olanab Consults
Quality Assurance & Continuous Improvement Consulting Firm

Rating Distribution

1 stars: 10 votes
2 stars: 3 votes
3 stars: 12 votes
4 stars: 5 votes
5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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