Six Sigma Black Belt Training
Details

Time:
March 06 • 8:00 AM - 4:00 PM
March 13 • 8:00 AM - 4:00 PM
March 20 • 8:00 AM - 4:00 PM
March 27 • 8:00 AM - 4:00 PM
April 10 • 8:00 AM - 4:00 PM
April 17 • 8:00 AM - 4:00 PM
April 24 • 8:00 AM - 4:00 PM
May 01 • 8:00 AM - 4:00 PM
May 08 • 8:00 AM - 4:00 PM
May 15 • 8:00 AM - 4:00 PM
May 22 • 8:00 AM - 4:00 PM
May 29 • 8:00 AM - 4:00 PM
Cost
$3,600 Calendar Google CalendarLocation:
OnlineDescription
Please note: This is an interactive, virtual, live, instructor-led training event. To successfully complete the training, you must have a computer with a working microphone, speakers, and camera.
Event Details
Purdue MEP's Six Sigma Black Belts have a thorough understanding of all aspects of Six Sigma methodologies, principles, and tools. A Black Belt will become a project team leader, guiding his or her team members to a goal of eliminating as many defects as possible and making continuous improvement a way of life.
Our Six Sigma Black Belt program includes training on how to use Minitab to perform statistical quality analysis; as part of the program fee, all participants will receive a six-month, non-renewable license to the latest version of Minitab. If you or your company already have Minitab software, contact us at mepworkshops@purdue.edu for a discount code.
Please note: Minitab software and Windows laptops are required. Macs are not supported.
Our Six Sigma Black Belt Program consists of a 12-day curriculum. The curriculum is currently provided either electronically via file-sharing or via a Purdue MEP-issued USB drive. Pre-printed materials can be purchased for an additional fee during the registration process.
Participants who complete all 12 days of training and pass the Black Belt Certificate test will receive a Purdue MEP Six Sigma Black Belt Training certificate.
Participants who also submit evidence of meaningful contributions to a completed Six Sigma Project within 120 days of the completion of formal training will receive a Purdue MEP Black Belt certification.
Appropriate For
Open to the public; participants should have some knowledge of basic statistics.
You Will Learn
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