Statistically Speaking
How do the best organizations innovate? Learn from industry leaders who use modern statistical techniques to gain a competitive advantage.
On-Demand Webinars
Statistically Speaking
Virtual keynote and panel conversations showcasing innovative organizations and their use of cutting-edge statistics.
-
Synergies of Designed Data Collection and Big DataIn this Statistically Speaking, Christine Anderson-Cook while she discusses Big Data and Designed Data Collection and the synergy between the two.
-
The Same, Similar, or Different? The Probability of Agreement Methodology for Evaluating Practical EquivalenceNathaniel Stevens emphasizes the utility of collecting evidence in favor of equality rather than against it, providing an overview of the probability of agreement framework for evaluating data in this way.
-
DOE: A Critical Component in the Data Scientist’s ToolboxFather-daughter duo Dr. Christopher Nachtsheim and Dr. Abby Nachtsheim discuss applications where DOE approaches have been successfully used for strategic development of synthetic data sets for test and evaluation of ML algorithms.
-
The Rise of Epidemic Forecasting & Multi-View AnalysisFather-son duo Dr. Robert Tibshirani and Dr. Ryan Tibshirani discuss why epidemic forecasting and multi-view analysis matters.
-
The “What, Why, and How” of Generalized Linear Mixed ModelsWalt Stroup and Elizabeth Claassen discuss the history and development of GLMM and why they are important to researchers.
Beyond Spreadsheets
This multi-part, live webinar series is designed to move your analytics processes out of the average spreadsheet and into the quick, dynamic analysis and visualization tools in JMP!
-
Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsThis multi-part, on-demand webinar series is designed to move your analytics processes out of the average spreadsheet and into the quick, dynamic analysis and visualization tools in JMP!
-
Beyond Spreadsheets Part 2: Graph Builder: The Two Laws of AnalyticsJoin us as we discuss the fantastic capabilities of Graph Builder: an easy-to-use, world-class data visualization tool.
-
Session 5: Sharing ResultsDuring this webinar, Jeff Upton discusses how easy it is to share your results with others, JMP user or not.
-
Session 4: Basic Analysis and ModelingDuring this session, Jordan Hiller demonstrates simple techniques for building models and the enriching insight gained from those models.
-
Session 3: Data VisualizationClovis Weisbart shows you the importance of using appropriate visualizations to share your results.
Technically Speaking
Case studies that demonstrate how to approach real-world data analysis problems.
-
How to Model Complex, High-Dimensional Chemical SpectraBill Worley and Jeremy Ash demonstrate spectral analysis in JMP. Understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
-
Experiment Even More Efficiently Using JMP Definitive Screening DesignsJeff Upton discusses how to experiment even more efficiently using JMP Definitive Screening Designs
-
Sentiment Analysis: What Are People Feeling?Mike Anderson discusses how sentiment analysis and term selection in JMP can help you gain insights from your survey text, social media and other forms of text data.
-
Quality Tools for Process Improvement MethodologiesAlisa Hunt-Lowery discusses how understanding and acting on factors influencing quality can result in reduced cost, faster time to market, better quality, and other benefits to your organization.
-
Modernization Updates in JMP ClinicalChris Kirchberg demonstrates how you can use the new reports for safety signal identification, reporting to regulatory agencies, and/or sharing with colleagues, quickly, easily, and without programming.
Data Insight
This webinar series will show how to gain insight into the relationships in higher dimensional data using integrated data management, dynamic graphs and statistics to understand what your data is actually telling you.
-
Going Beyond SpreadsheetsIn this video you will see how interactive, no-code analytics enable any scientist or engineer to go beyond spreadsheets and discover patterns in data quickly and easily.
-
Generating Insights from DataIn this webinar you will learn the importance of using your domain knowledge, experience and intuition alongside statistical and machine learning methods.
-
Improving Existing ProcessesIn this webinar you will attain a deeper understanding of products and processes when some of the variables are measured at higher frequencies than others.
-
How to Be a Data DatectiveIn this webinar you will see how interactive, no-code analytics enable any scientist or engineer to be a Data Detective, and to be more effective and efficient at every stage of the process.
-
Getting Started with Design of Experiments: When Many Factors MatterIn this webinar you will learn how this innovative statistical method can help scientists and engineers in process industries optimize processes and save time and money.
Time to Innovate
Explore this series and learn how to discover insights in your data, reduce time to market, uncover and solve blind spots in processes.
-
Ingolstadt University of Applied Sciences: Maximizing the Value of Industrial Data through the Integration of Machine Learning and Data AnalyticsWatch this video and find guidance and stories about how to get started with Machine Learning techniques or effectively integrate them within existing programs that seek to make the most of your data and drive more value for your organization.
-
Synthomer: Making Data-Based Decisions in R&D and Manufacturing with Modern Design of ExperimentsJoin this webinar and learn how to get going with Design of Experiments (DOE), where to acquire DOE know-how during your adoption journey, and what to do to encourage others to follow.
-
Fujifilm: Making better data-driven decisions in Science and EngineeringLilian Monahan from Fujifilm will share how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
-
Design experiments to be robust to input variationDuring the Ondemand, you’ll learn ways of designing new products, developing new processes, improving existing processes, developing new and improving current measurement systems so they can tolerate as much variation as possible in incoming material, processing, and operating characteristics.
-
How to ensure your investment in Machine Learning yields beneficial outcomesIn this talk, Jonathan Williams, PhD, Data Analysis Manager at IQE, shares guidance and stories about how to get started with machine learning techniques or effectively integrate them within existing programs.
Best Practices in Reliability Data Analysis
Statistical techniques for more profitable reliability insights.
-
Accelerated Destructive Degradation AnalysisSometimes product failures don’t occur until after a long period of performance degradation. Learn how degradation analysis lets you make predictions about failure times across a variety of use conditions.
-
Accelerated Life TestingIn what situations can accelerated life testing be useful? How can data transformations simplify the modeling process? What common pitfalls need to be avoided? Find out in this webinar with Dr. Bill Meeker.
-
Bayesian Inference in ReliabilityThe data available to make inferences about reliability is often very limited. Bayesian methods provide a formal way to deal with these situations. Learn how in this webinar with Dr. Bill Meeker.
-
Probability Plots in Life DistributionFind out how to select the appropriate distribution-specific plotting scale (i.e., normal, Weibull, lognormal) and apply maximum likelihood estimation to extrapolate failure rates into the future.
-
Using Reliability Block Diagrams in System DesignThrough examples based on personal computers and automobile brakes, Dr. Bill Meeker explains how reliability block diagrams can be used to achieve reliability goals for complex, multi-component systems.
Mastering JMP
Practical JMP techniques to address common analytic challenges.
Analytically Speaking
Thought-provoking interviews with leading experts in analytics.
-
Improving Mining Operations With Statistics -
The Judgment Calls We Make in Dashboard DesignNick Desbarats, information dashboard expert, explains why our charts are biased and how to design graphs that are useful to your audience.
-
Accessible, Intuitive Statistics for Scientists and EngineersSAS co-founder John Sall invented JMP with the goal of making statistics friendly and informative. Here's how and why he did it.
-
Questioning the Numbers of Everyday LifeSir David Spiegelhalter on improving the public understanding of risk and uncertainty.
-
Mission-Oriented Analytics: New Methods for the Intelligence CommunityAlyson Wilson explains her work developing new analytic technologies for the intelligence community.
Explorers
In-depth explorations of analytic best practices and leading-edge data analysis concepts.
-
Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
-
Beyond Dashboards: Designing Dashboards That Users Actually LikeUncover the real reasons, far deeper than the visual design, why so many dashboards fail to satisfy users and organizations.
-
Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
-
Predictive Analytics For Smarter Business Decision MakingJoin Dick De Veaux for a seminar where he will show you how to use interactive and visual data mining techniques using JMP and JMP Pro.
-
Optimal Experimental Plan: DOE Experts Peter Goos and Bradley JonesJoin author and University of Leuven Professor Peter Goos and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs that can reduce the cost of experimentation, accommodate multiple types of factors, and lead to optimal factor settings even when the design space is constrained.
Building Better Models
Improve your models with modern predictive modeling techniques.
-
Introduction to Modeling and Model ComparisonHow can you avoid overfitting your models? This video segment will guide you on how to use cross validation, ROC curves, response models and more.
-
Stepwise RegressionWhen should stepwise regression be used to build a good performing model? This webinar segment has the answer and reviews when to stop adding terms to your model.
-
Decision TreesPredict customer churn with well-built models. Learn how in this step-by-step video on decision trees.
-
Advanced Decision TreesAid process improvement with successful root cause analysis. Learn how in this step-by-step guide on random forest techniques.
-
Neural NetworksExtensive overview of Neural Networks! Learn how to assist with models that are numerically challenging and time-consuming to fit.