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Course Description

Lean Six Sigma for Green Belts: Statistical Methods

Using the knowledge gained from the course, PDS 240 Lean Six Sigma: Foundations you will further explore the DMAIC framework through data gathering and analysis. During this two-day, highly interactive workshop, you will apply statistical techniques to organizational data using statistical software in a lab setting. You will explore the statistical distributions and exploratory data analysis that is characteristic to Six Sigma methodologies. Upon successful completion of this course, you will be prepared to start your quality improvement project.

Course Details

By completion of this course, successful students will be able to:

  • Explain what model would be best suited to explain the behaviour of output variables in relation to input variables in a continuous improvement project sample.
  • Explain the difference between statistical and practical significance, correlation, and causation
  • Use basic probability concepts and describe various distributions as they apply to statistical process control and probability.
  • Use data analysis tools for sampling plans, statistical reviews, and validation to determine which root causes contribute significantly to the project output
  • Execute basic statistics, Value Stream Mapping, and Process Value Analysis
  • Use data analysis techniques to data sets using statistical software
  • Write summaries of all the findings from statistical validation or process value analysis
  • Evaluate problems in the process that cause defects and determine if these problems are the root causes of defects.

Prerequisites

Students are strongly encouraged to complete PDS 240 Lean Six Sigma for Green Belts: Foundations prior to registering for this course.

Proficiencies

Students must have basic statistical knowledge.

Applies Towards the Following Program(s)

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Type
Online
Dates
Nov 30, 2022 to Dec 21, 2022
Type
Online Synchronous
Days
W
Time
6:00PM to 9:00PM
Dates
Nov 30, 2022 to Dec 21, 2022
Schedule and Location
Hours
15.0
Delivery Options
Course Fees
Flat Fee non-credit $745.00
Instructor(s)
  • Riaz Ali
Reading List / Textbook

No textbook required.

Section Notes

This course uses Desire2Learn (D2L), an online learning management system. The instructor will post your course outline and other materials in D2L. For more information about D2L, please visit our Online Learning Resources.

Please note there are  mandatory live sessions included in this course every Tuesday Evening.

To fully participate in the live sessions you will need to have access to a reliable headset with microphone. 

Unless notified, all online courses are available at 9 am MT the day before the start date. Students registered on (or after) the start date will receive access within one day of registration.

Students unfamiliar with online learning are encouraged to take our free Digital Skills for Learning Online course.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Type
Online
Dates
Apr 04, 2023 to Apr 25, 2023
Type
Online Synchronous
Days
T
Time
6:00PM to 9:00PM
Dates
Apr 04, 2023 to Apr 25, 2023
Schedule and Location
Hours
15.0
Delivery Options
Course Fees
Flat Fee non-credit $745.00
Instructor(s)
  • Riaz Ali
Reading List / Textbook

No textbook required.

Section Notes

This course uses Desire2Learn (D2L), an online learning management system. The instructor will post your course outline and other materials in D2L. For more information about D2L, please visit our Online Learning Resources.

Please note there are  mandatory live sessions included in this course every Tuesday Evening.

To fully participate in the live sessions you will need to have access to a reliable headset with microphone. 

Unless notified, all online courses are available at 9 am MT the day before the start date. Students registered on (or after) the start date will receive access within one day of registration.

Students unfamiliar with online learning are encouraged to take our free Digital Skills for Learning Online course.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

Type
Online
Dates
Aug 01, 2023 to Aug 22, 2023
Type
Online Synchronous
Days
T
Time
6:00PM to 9:00PM
Dates
Aug 01, 2023 to Aug 22, 2023
Schedule and Location
Hours
15.0
Delivery Options
Course Fees
Flat Fee non-credit $745.00
Instructor(s)
  • Riaz Ali
Reading List / Textbook

No textbook required.

Section Notes

This course uses Desire2Learn (D2L), an online learning management system. The instructor will post your course outline and other materials in D2L. For more information about D2L, please visit our Online Learning Resources.

Please note there are  mandatory live sessions included in this course every Tuesday Evening.

To fully participate in the live sessions you will need to have access to a reliable headset with microphone. 

Unless notified, all online courses are available at 9 am MT the day before the start date. Students registered on (or after) the start date will receive access within one day of registration.

Students unfamiliar with online learning are encouraged to take our free Digital Skills for Learning Online course.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.

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