REGISTER HERE: https://www.jmp.com/en_us/events/live-webinars/academic/jmp-for-teaching-stat-semicon-17apr2025.html Semiconductor engineering is a data intensive process. Engineers need to visualize and analyze vast amounts of data to improve yield, identify and rectify drifts or failures, monitor process health, and more. JMP statistical software, used widely in the semiconductor industry, is ...
REGISTER HERE: https://www.jmp.com/en_us/events/live-webinars/academic/teaching-predictive-modeling-03apr2025.html Predictive modeling encompasses a range of techniques for using historical data to predict future outcomes, and it has applications in nearly all quantitative disciplines. The JMP Student Edition has robust predictive modeling capabilities, including a range of algorithms for cla...
REGISTER HERE: https://www.jmp.com/en_us/events/live-webinars/academic/jmp-for-data-analytics-courses-20mar2025.html Data analytics courses are a core part of curricula in business, marketing, information systems, and related fields. These courses frequently cover a range of data analysis techniques, from basic data visualization and analysis through advanced methods that can include machine ...
The American Chemical Society’s guidelines on undergraduate chemistry education recommend that students learn to “analyze data with appropriate statistical methods and software.” JMP statistical software, used widely in the chemical industry, can help students master statistical methods through a no-code, graph-first interface. This webinar provides a broad overview of the utility of the JMP ...
Building off of intro statistics, regression and ANOVA courses help students master broadly applicable linear modeling skills. This webinar reviews tools and resources for teaching regression and ANOVA with the JMP Student Edition, with topics including: An overview of Fit Model, JMP’s general-purpose linear modeling platform Factorial ANOVA and multiple regression Logistic regression Stepw...
The American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) recommend that introductory statistics courses introduce students to multivariable thinking: reasoning about relationships between more than two variables. The JMP Student Edition’s interactive and visual tools can help students develop this important statistical thinking skill. Th...
If you teach with the JMP Student Edition, you can use JMP Academic’s range of free teaching resources to complement your course or lighten your load. This webinar reviews these resources, how to access them, and how to use them effectively. Topics include: The JMP Student Edition: All the capabilities of JMP Pro, free for faculty, students, and academic researchers The Learning Library, A c...
Design of experiments (DOE) is used extensively in industry to understand cause and effect in complex systems, making DOE a critical skill for the modern science or engineering student. JMP's world-class suite of DOE tools is used extensively in industry, and JMP's visual, no-code interface makes its DOE tools great for teaching, too. This webinar reviews JMP tools and tips for teaching DOE, wi...
Modern industrial processes can be very complex and require use of statistical quality control (SQC) methods for monitoring process behavior and maintaining outputs within specification. For many engineering students, learning SQC methods is central to preparing for the challenges they will face in their careers. This webinar demonstrates JMP tools and resources you can use to teach SQC. Topi...
Consumer researchers use specialized quantitative methods for understanding consumer preferences and behaviors. In an increasingly data-driven world, students in business and marketing are likely to encounter – or even apply – such methods at some point in their careers. This webinar reviews JMP tools and tips for teaching several consumer research methods: conjoint analysis, discrete choice, a...
Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate statistical methods. JMP software can make learning multivariate methods more accessible and engaging to students through its interactive, no-code interface. This webinar presents JMP tools and tips for...
Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate analysis methods. JMP statistical software can make multivariate methods more accessible and engaging to students through its interactive, no-code interface. This webinar presents JMP tools and tips for...
Univariate statistics and probability form a foundation for students' understanding of more complex statistical concepts. This webinar provides the knowledge you need to teach this important topic with JMP. Topics include: Describing variables through graphical and numerical summariesStatistical inference for categorial and continuous variablesAssessing distributional assumptionsInteractive app...
Whether you’re new to teaching with JMP statistical software or you just need a refresher on the fundamentals, this webinar reviews everything you need to know to start teaching with JMP effectively. Topics include: Navigating the JMP interfaceCore graphing and analysis toolsImporting data, saving and sharing resultsJMP Academic’s library of free course materials Want JMP software for your ...
Webinar Overview JMP and Python are great complements to one another: JMP offers wide data visualization and analysis capabilities in an easy, visual, point-and-click interface, and Python brings a versatile set of additional capabilities. As of JMP 18, users have greatly improved options for integrating Python into their JMP workflow. This webinar reviews techniques for integrating JMP and P...
Webinar Overview Following on the previous webinar, Designing and Analyzing Experiments, Pt. 1: An Introduction, this webinar introduces a selection of intermediate and advanced concepts and techniques in the design of experiments (DOE) and how to apply them in JMP. Topics include: Statistically optimal designs that are custom-built to unique experimental settingsAccommodating restrictions ...
Webinar Overview Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how to apply them in JMP. Topics include: D...
Webinar Overview Survey data is ubiquitous in social science, business, and healthcare research, and its analysis poses special considerations and challenges. This webinar reviews fundamental survey analysis techniques and how to implement them in JMP, including: Preparing survey data for analysis (e.g., recoding response levels, handling multiple-response questions) Creating custom cross-t...
Webinar Overview Academic researchers often need to determine whether their quantitative data support certain conclusions. Did the experimental treatment have the predicted effect? Are these two measures correlated with each other? Does the probability of some event or outcome depend on certain factors? A researcher can answer many questions like these with basic knowledge of a small set of sta...
Webinar Overview JMP 18 and JMP Pro 18 are being released in Spring 2024, bringing a host of new features useful to academics, whether for teaching or research. This webinar provides an overview of new features before demonstrating several in detail, including: An improved new user experience The Columns Manager for easier data management Platform Presets for reusable graph and report temp...
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 f...
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 ...
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...
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 surv...
Webinar Overview JMP includes comprehensive tools for teaching categorical data analysis concepts and techniques, including categorical probability distributions, confidence intervals and hypothesis tests on proportions, contingency analyses, logistic regression, and more. This webinar provides a tutorial on how to use these tools, with plenty of teaching-focused tips along the way. We also rev...