Focused, instructor-led programs for technical professionals who need to analyze variation, investigate failures, identify root causes, and support decisions with evidence.
Both programs connect JMP data analysis with practical technical problem solving. Training is available for individual professionals and private company teams.
Practical statistical analysis and structured problem solving for process, manufacturing, quality, validation, and technical teams working with variation, process performance, root causes, and improvement opportunities.
Practical JMP and statistical methods for engineers working with product reliability, life data, failure analysis, reliability improvement, and evidence-based technical decisions.
This course helps engineering teams use JMP, Six Sigma problem-solving methods, and applied statistics to analyze variation, identify root causes, and improve product and process performance. Participants apply graphical analysis, process capability, hypothesis testing, ANOVA, regression, DOE, measurement system analysis, and sample size methods through hands-on JMP exercises and practical engineering case studies.
Explore Process & Manufacturing training →This course helps product, hardware, reliability, validation, and quality teams use JMP to evaluate product performance, reliability risk, failure modes, life data, and test results. Participants apply FMEA, Weibull analysis, accelerated life testing, degradation modeling, recurrence analysis, reliability growth, warranty forecasting, and sample size methods through hands-on JMP exercises and practical reliability case studies.
Explore Product Reliability training →Programs focus on using JMP and statistical methods to understand variation, investigate technical problems, evaluate evidence, and communicate conclusions clearly.
Examples and applications are oriented toward engineering, manufacturing, quality, reliability, hardware, validation, test, and product work.
Contact GLS about JMP engineering training →