Decision Making for Leaders: Leveraging Data

Decision Making for Leaders: Leveraging Data, available at $64.99, has an average rating of 4.15, with 62 lectures, based on 28 reviews, and has 198 subscribers.

You will learn about How to use your organization's data to make better decisions The nature and sources of variation in business data Common cause versus special cause variation How to calculate and use a capability index How to start making statistically confirmed decisions An overview of Designed Experiments Types of hypothesis errors Hypothesis testing steps T tests and Z tests One way and two way ANOVA An overview of Design of Experiments (DOE) An understanding of leading and lagging indicators The 10 steps toward building a Quality Operating System (QOS) QOS examples in manufacturing Excel-based, downloadable spreadsheets This course is ideal for individuals who are Manufacturing managers and supervisors or Quality managers, engineers and technicians or Supply chain managers and analysts or Industrial engineers and manufacturing engineers It is particularly useful for Manufacturing managers and supervisors or Quality managers, engineers and technicians or Supply chain managers and analysts or Industrial engineers and manufacturing engineers.

Enroll now: Decision Making for Leaders: Leveraging Data

Summary

Title: Decision Making for Leaders: Leveraging Data

Price: $64.99

Average Rating: 4.15

Number of Lectures: 62

Number of Published Lectures: 62

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 62

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

How to use your organization's data to make better decisions
The nature and sources of variation in business data
Common cause versus special cause variation
How to calculate and use a capability index
How to start making statistically confirmed decisions
An overview of Designed Experiments
Types of hypothesis errors
Hypothesis testing steps
T tests and Z tests
One way and two way ANOVA
An overview of Design of Experiments (DOE)
An understanding of leading and lagging indicators
The 10 steps toward building a Quality Operating System (QOS)
QOS examples in manufacturing
Excel-based, downloadable spreadsheets

Who Should Attend

Manufacturing managers and supervisors
Quality managers, engineers and technicians
Supply chain managers and analysts
Industrial engineers and manufacturing engineers

Target Audiences

Manufacturing managers and supervisors
Quality managers, engineers and technicians
Supply chain managers and analysts
Industrial engineers and manufacturing engineers

If you are a manufacturing professional looking to advance your data analysis skillset so that you can advance your business career, then this is the class for you!!

In this second course in its series course, “Decision Making for Leaders: Leveraging Data”, you will learn beginner and intermediate level skills from 3 important areas of business data analysis:

Understanding and Analyzing Data Variation
Making Statistically Confirmed Decisions
Utilizing Leading and Lagging Indicators to Monitor Business Processes

Each of these sections are “bite sized” lessons that a busy professional can watch in one or two lunch breaks or evenings.

In the first section, Understanding and Analyzing Data Variation, you will learn:

The value of visualizing your data on a time-based run chart
How to calculate control limits as a means of characterizing the normal range of your process
How to use Cpk as a business indicator

In the second section, Making Statistically Confirmed Decisions, you will learn:

How to use intermediate level statistical tools like t tests, z tests and ANOVA to make better business decisions
An overview of Design of Experiments (DOE) as a mean of validating your improvements
An introduction to more advanced DOE concepts like fractional factorial and Taguchi methods

And in the third section, Utilizing Leading and Lagging Indicators to Monitor Business Processes, you will learn:

The value of both leading and lagging indicators in monitoring your business processes
Real life examples of both types of indicators
Connecting leading and lagging indicators for greater business success

In addition to over 3 1/2 hours of high-quality video, this class also offers several downloadable resources including:

The slide deck for each of the three lessons (OVER 200 SLIDES TOTAL)
Several Excel Spreadsheets that were used during these lessons (Excellent for practicing your new skills!!)

If you are going to be successful in business or operations, you must know how to extract useful insights from your organization’s data. Complement your managerial and people skills today with “Decision Making for Leaders: Leveraging Data”, and take your career to its next level.

See you in class!!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to the Course

Lecture 2: Slides for the Entire Course

Chapter 2: The Nature of Variation in Decision Making

Lecture 1: Introducing Variation

Lecture 2: Agenda for the Lesson

Lecture 3: The Nature of Variability

Lecture 4: Sources of Variability

Lecture 5: Identifying Variability

Lecture 6: Control Chart Rules

Lecture 7: Distinguishing Common Cause Variation

Lecture 8: Addressing Common Cause Variation

Lecture 9: Case Study in Variation

Lecture 10: Capability Index

Lecture 11: Visualizing Capability

Lecture 12: Example of Cpk

Lecture 13: Cpk Spreadsheet

Lecture 14: Summary and References

Chapter 3: Making Statistically Confirmed Decisions

Lecture 1: Introduction to Making Statistically Confirmed Decisions

Lecture 2: What to Expect from this Section

Lecture 3: Types of Decisions

Lecture 4: Agenda for this Lesson

Lecture 5: The Nature of Statistical Experiments

Lecture 6: Understanding Hypothesis Testing

Lecture 7: Understanding Designed Experiments

Lecture 8: Sampling and Variation

Lecture 9: More on Hypothesis Testing

Lecture 10: Types of Error

Lecture 11: Testing for Means

Lecture 12: Examples of T Tests

Lecture 13: T Test Spreadsheets

Lecture 14: Example of Z-Test

Lecture 15: Testing for Proportions, Pt 1

Lecture 16: Testing for Proportions, Pt 2

Lecture 17: Summarizing Hypothesis Testing

Lecture 18: Introducing ANOVA

Lecture 19: DOE Terms

Lecture 20: One Way ANOVA

Lecture 21: Example of a Two-Way ANOVA

Lecture 22: Full Factorial Experiments and an Alternative

Lecture 23: Fractional Factorial Methods

Lecture 24: Taguchi Terminology

Lecture 25: Case Study, Pt 1

Lecture 26: Case Study, Pt 2

Lecture 27: Case Study, Pt 3

Lecture 28: DOE Spreadsheet

Lecture 29: Summarizing Statistically Confirmed Decisions

Chapter 4: The Quality Operating System

Lecture 1: Introduction to the Quality Operating System

Lecture 2: Overview of Section Objectives

Lecture 3: The Role of Truth in Business

Lecture 4: The Operating Profit Bridge

Lecture 5: Continuous Improvement Pays Off

Lecture 6: What is QOS?

Lecture 7: Who is the Best

Lecture 8: The Ten Steps

Lecture 9: Leading and Lagging Indicators

Lecture 10: Plant QOS

Lecture 11: SGA QOS

Lecture 12: Plant QOS Example

Lecture 13: The Paynter Chart

Lecture 14: Additional Examples

Lecture 15: Summary and References

Chapter 5: Conclusion to the Course

Lecture 1: Conclusion to the Course

Lecture 2: Bonus Lecture

Instructors

Ray Harkins, The Manufacturing Academy
Senior Manufacturing Professional, Online Educator
Michael J. Vella
Instructor with the Manufacturing Academy

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 4 votes
4 stars: 8 votes
5 stars: 14 votes

Frequently Asked Questions

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

Can I take my courses with me wherever I go?

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