Purdue University Six Sigma Black Belt training and certification program offers a cost-effective method to train and certify in Six Sigma techniques. Six Sigma combines a detailed roadmap (DMAIC: Define, Measure, Analyze, Improve, and Control) with powerful statistical tools to attack and resolve your most critical business issues. Successful Six Sigma projects produce measurable results and help increase a company's skill in process optimization and continuous improvement. You will be provided with a 6 month (non-renewable) license to Minitab Software.
A Black Belt Training Certificate is granted to those participants that attend all 12 days of training, and pass both the Green Belt Exam and the Black Belt exam. The Green Belt exam is administered on Day 6 and participants must pass the exam to continue on to the black belt training. Participants who do not pass the green belt exam may repeat the training and exam at no cost at a later date.
Black Belt Certification is granted to attendees who have received the Black Belt Training Certificate and successfully completed a Black Belt project.
* If you or your company already has Minitab software, please contact Debra Cochran at firstname.lastname@example.org for a discount code.
Workshop qualifies for 9.6 CEUs (continuing education units) through Purdue University. There is a $15 processing fee to obtain your CEU transcript record. If you are interested in obtaining CEUs, you can prepay at registration or request an application form at the end of the session. Workshop also qualifies for 88 PDHs (professional development hours) through the Indiana State Board of Registration for Professional Engineers. You will be given a Certificate of Attendance to submit to the Board for these credits.
Open to the public. Recommended for owners or management teams for small to medium-sized manufacturers, engineers or technical staff.
Note: Participants should have some knowledge of basic statistics.
You Will Learn
Learn Six Sigma techniques that will help increase a company's skill in process optimization and continuous improvement.