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Learn JMP Events

Events designed to further your knowledge and exploration of JMP.
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JMP Academic Webinar – Teaching Survival and Reliability Analysis with JMP
Wednesday, February 21, 2024
      Webinar Overview Analysis of time-to-event data – often called survival or reliability analysis – is commonly taught in biostatistics, reliability engineering, and other domains. JMP’s suite of survival and reliability tools support comprehensive teaching of key concepts and techniques in this domain, including survival and hazard functions, censoring, Kaplan-Meier analysis, parametric survival modeling, and more. This webinar provides a tutorial on JMP tools for teaching these concepts and techniques, as as well as a brief review of JMP tools for more specialized reliability analyses common in industry, such as accelerated life testing. We also point you to relevant free teaching resources from the JMP Academic team.   Helpful Links Register for upcoming JMP Academic webinars: www.jmp.com/academic-webinars JMP for academics: www.jmp.com/academic Free teaching materials: www.jmp.com/teach JMP for students: www.jmp.com/student   Timestamps 0:00 Introduction 4:28 Kaplan-Meier Analysis 14:17 Proportional Hazards Models 26:30 Estimating Time-to-Event Distributions 36:55 Left and Interval Censoring 40:40 Parametric Survival Models 47:40 Accelerated Life Testing 53:41 Degradation Analysis 56:28 Teaching Resources
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JMP Academic Webinar – Teaching Mixed Models with JMP and JMP Pro
Friday, March 8, 2024
  Webinar Overview Linear mixed models — linear models with both fixed and random effects — have become widely taught in many disciplines due to their ability to handle non-independence among observations, a challenge that students are likely to encounter at some point in their careers. JMP and JMP Pro include extensive mixed modeling capabilities, with an interactive no-code interface that makes mixed models more approachable for many students. This webinar presents tools for analyzing basic blocking structures in JMP before moving on to JMP Pro for tutorials on analyzing data with more complex covariance structures and on mixed models for non-normal response data (generalized linear mixed models). We provide teaching tips along the way, including pointers to relevant teaching resources from the JMP Academic team.   Helpful Links Register for upcoming JMP Academic webinars: www.jmp.com/academic-webinars JMP for academics: www.jmp.com/academic Free teaching materials: www.jmp.com/teach JMP for students: www.jmp.com/student   Timestamps 0:00 Introduction 6:55 ANOVA with blocking effect in JMP 19:23 ANOVA with blocking effect in JMP Pro 24:53 Visualizing shrinkage 30:18 Random coefficients model 35:32 Visualizing covariance 39:15 Repeated measures 46:37 Visualizing correlations among residuals 51:08 Generalized linear mixed models 55:25 Teaching resources 4:28 Kaplan-Meier Analysis 14:17 Proportional Hazards Models 26:30 Estimating Time-to-Event Distributions 36:55 Left and Interval Censoring 40:40 Parametric Survival Models 47:40 Accelerated Life Testing 53:41 Degradation Analysis 56:28 Teaching Resources
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JMP Academic Webinar – JMP Pro for Teaching Business Analytics and Data Science
Wednesday, March 20, 2024
  Webinar Overview Analytics and data science skills are in-demand and widely taught across business, marketing, information systems, and many other fields. JMP Pro’s combination of an interactive, no-code interface with powerful statistical and machine learning capabilities makes it a strong choice for teaching in this area. This webinar provides a comprehensive overview of JMP Pro for teaching business analytics and data science, including data visualization, basic statistical modeling, machine learning for predictive modeling and data mining, and more. We also review relevant teaching resources that make it easier to adopt JMP Pro in your course, including textbooks with JMP integration, quick tutorial videos, and case studies for demonstrating real-world analytics problems with JMP Pro.   This webinar is appropriate both for instructors who are new to JMP Pro and for those who already teach with JMP Pro but would appreciate a broad overview of its capabilities for business analytics and data science.   Helpful Links Free 30-day trial: www.jmp.com/try Register for upcoming JMP Academic webinars: www.jmp.com/academic-webinars JMP for academics: www.jmp.com/academic Free teaching materials: www.jmp.com/teach JMP for students: www.jmp.com/student
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JMP Academic Webinar – JMP for Teaching Statistics in Life Sciences
Wednesday, April 3, 2024
    Webinar Overview Health and life sciences are innovative, fast-growing industries that present many career opportunities for students with data analysis skills. JMP includes comprehensive data visualization and analysis capabilities for life sciences, all packaged in an easy-to-use, visual interface that is great for the classroom. This webinar provides a comprehensive overview of JMP tools for teaching statistics in life sciences, including data visualization, basic statistical tests, regression and ANOVA, categorical data analysis, survival analysis, and more. We also review relevant teaching resources that make it easier to adopt JMP in your course, including textbooks with JMP integration, quick tutorial videos, and case studies for demonstrating real-world analytics problems with JMP.   This webinar is appropriate both for instructors who are new to JMP and for those who already teach with JMP but would appreciate a broad overview of its statistical capabilities for life sciences.   Helpful Links Free 30-day trial: www.jmp.com/try Register for upcoming JMP Academic webinars: www.jmp.com/academic-webinars JMP for academics: www.jmp.com/academic Free teaching materials: www.jmp.com/teach JMP for students: www.jmp.com/student
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