JMP product and hardware engineering training
3-Day Product & Hardware Engineering Problem-Solving with JMP
Apply statistical problem-solving and experimentation methods through hands-on JMP analysis to investigate product and hardware performance. Work through practical engineering cases to compare alternatives, identify influential factors, and support evidence-based decisions.
Learn established engineering problem-solving methods through instructor-led case studies and hands-on JMP analysis. No generative AI tools are used. Prefer training that integrates generative AI with JMP? Explore AI6Sigma →
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Who This Course Is For
- Product engineers
- Hardware engineers
- Systems engineers
- Mechanical and electrical engineers
- Technical professionals investigating product performance
Individual and Private Team Training
Training is available for individual professionals and private company teams through virtual or onsite sessions.
Ask about training options →What Participants Learn
- Compare product and test performance using statistical evidence
- Investigate relationships and influential factors
- Plan experiments to support engineering decisions
- Interpret results and communicate defensible conclusions
JMP Methods Used
- Graphical analysis and statistical comparisons
- Hypothesis testing and ANOVA
- Correlation and regression
- Design of experiments
Training inquiries
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Ask about current course dates, individual registration, or a private program for your engineering or improvement team.