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• Analysing and Improving Quality and ReliabilitySee how to use JMP to analyze non-repairable systems, including fitting life distributions, accelerated life testing and degradation analysis.
• Analyzing Reliability for Non-Repairable SystemsSee how to use JMP to analyze non-repairable systems, including fitting life distributions, accelerated life testing and degradation analysis.
• Analyzing Reliability for Repairable SystemsSee how to use JMP to analyze repairable systems, including fitting life distributions, forecasting reliability, analyzing recurring reliability events, and modeling reliability changes as product modifications are made. Presented by: Jerry Fish
• Automating Analyses Using JMP ScriptsUse JMP’s interactive capability plus simple scripting to create an updatable report that you can also embed into an MS Word or PowerPoint document. This webinar is designed as a tutorial. Presented by: Byron Wingerd
• Building Better Predictive Models Using JMP Pro®See how to use model types and techniques; test, training and validation data; and ways to tune models to get the most useful predictive information. This second part of a two-part series uses a case study to demonstrate the application of principles using JMP and JMP Pro. Presented by: Don McCormack
• Cleaning and Preparing Complicated Data See how to use JMP to clean up inconsistencies in imported or inherited data, and manipulate or transform data for meaningful analysis. Presented by: Don McCormack
• Collaborating Using JMP® LiveJMP 15 and JMP Pro 15 enhance and add statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers. Presented by: Brady Brady
• Creating Custom Drill-Down Graphs to Enhance Interactive Reporting See how to use JMP graph hover labels to get instant details about data points without leaving the graph. Learn how to create, save and share a series of drill-down enabled customized hover labels to display graphlets and gridlets that provide immediate context while keeping you in the analysis flow. Presented by: Olivia Lippincott
• Deriving Sentiments from Opinions or Product ChoicesSee how to combine text analysis with predictive modeling to derive sentiments from opinions or product choices to help understand the underlying emotions related to survey responses. Presented by: Mike Anderson
• Design DiagnosticsWhat makes one design better than another? See how JMP design diagnostics can help you get an answer. Presented by: Don McCormack
• Discovering and Predicting Patterns Using Neural Network ModelsSee how to build neural networks, starting with a simple one-layer network, and how to use JMP Pro to build more complicated self-learning and boosted models. Presented by: Kemal Oflus
• Extracting Practical Information from Quality-by-Design ModelsSee how to use model types and techniques; test, training and validation data; and ways to tune models to get the most useful predictive information. This second part of a two-part series uses a case study to demonstrate the application of principles using JMP and JMP Pro. Presented by: Don McCormack
• JMP® and R IntegrationJMP Research Statistician Kelci Miclaus demonstrates how the advanced visualization found in JMP can be integrated with the analytical capaiblities of R. Presented by: Kelci Miclaus
• JSL for Building Interactive Dialogs for Automating WorkflowsSee how to use JMP scripts (JSL) for repetitive data access and reporting. This demo uses manufacturing data and control charts to automate repetitive process monitoring and reporting. Presented by: Byron Wingerd
• Monitoring and Controlling Complex Manufacturing ProcessesSee how to monitor and control complex processes, screen multiple processes over time, detect process shift, and conduct and interpret non-normal capabilities studies. Presented by: Scott Wise
• Monitoring, Diagnosing and Improving Large-Scale Complex ProcessesSee how to examine the impact of factor interaction and improve processes with hundreds or thousands of highly-correlated parameters. Learn to use the JMP 15 Model Driven Multivariate Control Chart (MDMCC) platform, along with Principal Component Analysis (PCA) and Partial Least Squares (PLS), to improve processes and monitor multivariate process variation over time. Presented by: Byron Wingerd
• New in JMP® 14 and JMP® Pro 14JMP 14 and JMP Pro 14 include enhancements and new statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers. Presented by: Brady Brady
• New in JMP® 15 and JMP® Pro 15JMP 15 and JMP Pro 15 enhance and add statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers. Presented by: Brady Brady
• New in JMP® 16 and JMP® Pro 16JMP 16 and JMP Pro 16 enhance and add statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers. Presented by: Hyde Miller
• Pinpointing and Reducing DefectsSee how to use JMP to identify defects and build a causal hypothesis to determine the next step for process improvement. Presented by: Mike Anderson
• Reliability Analysis Using JMP® ProSee how to use JMP Pro to examine the reliability relationship between a system's components and forecast repair needs and costs. Presented by: Erich Gundlach
• Screening and Controlling Manufacturing ProcessesUnderstand how to use JMP to evaluate the Voice of the Process (process performance) and Voice of the Customer (process adherence to customer specifications). See how to monitor and analyze large amounts of data necessary to maintain or improve quality. Learn how to import process data and along with their specification and control limits to scan processes for stability and capability so you can focus attention on processes needing improvement. Presented by: rob Lievense
• Specialized Custom DOE for Experienced ExperimentersJMP’s Custom Designer lets you easily, interactively build experiments that handle real-world situations. See case studies that show how to create a design, augment to accommodate constraints, repair broken designs, and create designs for the most relevant factor subset of existing designs. Presented by: Tom Donnelly
• Split-Plot and Strip-Plot Design of ExperimentsUse JMP for split-plot and strip-plot designs, where some factors apply to the whole process and others to part of the process, or where treatments are determined by hard-to-vary factors. Presented by: Don McCormack
• Transforming Data to Make Better Predictions Understand when and why data transformations may be useful and see several case studies deploying and comparing transformations. Presented by: Tom Donnelly
• Understanding and Applying Tree-based Methods for Predictor Screening and ModelingSee how to use JMP and JMP Pro non-linear modeling methods to segment predictors into groups that are summarized in the form of a tree, are useful for regression and classification, and are easy to interpret. Presented by: Peter Hersh
• Understanding DOE Capabilities in JMP®JMP DOE tools create controlled sets of tests to model and explore the relationship between factors and one or more responses for your process or product. Learn about the basic types of designs and related terminology essential for making experimental decisions. See case studies that demonstrate how to build, model, refine, interpret and compare results. Presented by: Bill Worley
• Unlocking the Power of Graph BuilderSee how the drag-and-drop interface of Graph Builder lets you iteratively explore and present information easily and clearly using graphs appropriate for your problem. Learn to use advanced features to control format and appearance to create persuasive visualizations. See several case studies that demonstrate different techniques to create compelling graphs that uncover relationships in your data and identify areas for further analysis. Presented by: Alisa Hunt-Lowery
• Using Formulas to Get the Most from Your DataSee how to use JMP’s powerful Formula Editor to create a column whose values are computed by a formula, store a formula as column information and automatically recompute values when the values in columns linked to a formula change or new rows are added. Presented by: Jerry Cooper
• Using JMP® to Harness the Full Power of SASUse JMP to access and subset SAS data, summarize and identify issues for clean-up, visually explore, build models, submit SAS code for processing and view SAS output. Presented by: Don McCormack
• Using Multivariate Methods to Explore Data See how to use multivariate methods to analyze and visualize multiple dimensions while taking into account the effects of all variables on the responses of interest. Presented by: Laura Higgins
• Using Partial Least Squares - When Ordinary Least Squares Regression Just Won’t WorkSee how to use JMP Pro Partial Least Squares when there are more explanatory variables than observations, highly correlated explanatory variables and responses, and many explanatory variables. Presented by: Peter Bartell

• Accessing DatabasesJMP interactively accesses data from SAS® and all ODBC-compliant databases. See how to connect to databases and use the Query Builder to query, aggregate, join, save and update data. Presented by: Chris Kirchberg
• Advanced Techniques for Working with Big DataLearn to use key JMP visualization techniques to help identify patterns in big data – patterns that are often difficult to uncover and represent simply. See how to use and add to your toolbox advanced techniques for sampling, handling and learning from wide and tall data. Presented by: Julian Parris
• Analyzing Genetic Diversity and Applying Genomic Selection Methods for Plant Breeding Learn ways modern crop improvement programs harness the power of plant genetic variability to drive selection of desirable traits and how genomic selection methods can be applied to breeding experiments. See how to use JMP Genomics to predict, cross-evaluate and simulate genetic diversity and genomic selection in plant breeding programs. Presented by: Luciano Silva
• Analyzing Genetic Diversity and Applying Genomic Selection Methods for Plant Breeding Learn ways modern crop improvement programs harness the power of plant genetic variability to drive selection of desirable traits and how genomic selection methods can be applied to breeding experiments. See how to use JMP Genomics to predict, cross-evaluate and simulate genetic diversity and genomic selection in plant breeding programs. Presented by: Luciano Silva
• Analyzing Survival DataJMP helps you analyze survival data about people and products using methods that address survival times with non-normal distributions and censored data. Presented by: Jian Cao
• Building Custom Applications Using JMP®Learn how to design, create, save and share custom applications, dashboards and presentations. See how to use Application Builder to build a basic JMP Application from scratch using drag and drop coding tools and create a more advanced, custom application using basic JMP Scripting Language (JSL) commands relevant to Application Builder. Presented by: Mike Anderson
• Building Linear Mixed Models Using JMP ProBuild models that are useful when cross-sectional data are measured repeatedly over time, measurements are correlated, or the data are hierarchically structured. Presented by: Jian Cao
• Building Predictive Models for Spectral DataFunctional Data Explorer (FDE) turns data presented as functions, signals, or series into a form that can be analyzed. See how to use FDE to create models for functional data. Presented by: Peter Hersh
• Creating JSL Libraries of User-Defined FunctionsSee how to create and call JSL functions as if they were native to JMP, make modifications in a single location, and avoid names colliding in your scripts or with others using your scripts. Presented by: Brady Brady
• Designing Experiments to Optimize Manufacturing Materials Selection Designing experiments based on physical or chemical properties significantly minimizes the number of required experimental conditions and produces a model that can predict untested options. These efficient designs are based on QSAR (Quantitative Structure – Activity Relationship). This demonstration is based on a 2017 JMP Discovery Summit presentation by Silvio Miccio, Procter and Gamble. Presented by: Bill Worley
• Expression/NextGen Sequencing Analysis for Translational GenomicsSee how to use Next Generation Sequencing to help find molecular candidates for new therapies, medical advances and diagnostic tools and molecular technologies. Learn how to use Expression to investigate molecular responses to perturbations in biological systems and normalize and analyze array data and summaries from NGS studies that use intensity, aligned read and count data formats. Presented by: Chris Kirchberg
• Fitting Repeated Measures Data using JMP Pro®Use JMP Pro advanced methods to fit a wide variety of mixed models with complex covariance structures, in particular those found in repeated measures situations. Seven of JMP Pro's eleven methods for modeling repeated measures data are new in JMP Pro 13. Presented by: Don McCormack
• Handling Constraints When Designing ExperimentsDesign of experiments (DOE) is a practical approach for exploring multifactor opportunity spaces. See some of JMP's advanced custom DOE capabilities. Presented by: Don McCormack
• JMP Scripting Language for Experienced JSL Users – Part 1See how to use JSL for data manipulation, analysis and reporting consistently in a way that can be shared with others. Presented by: Brady Brady
• JMP Scripting Language for Experienced JSL Users – Part 2See some ways to use JSL to implement repeated analyses against regularly updated data, create dialog boxes and customize reports. Presented by: Brady Brady
• Machine Learning and Biomarker Sub-Group Analysis for Precision MedicineSee how to use analyze wide data using JMP Genomics and apply modern machine learning and statistical techniques can be applied for prognostic and predictive analytic approaches to biomarker discovery. Presented by: Kelci Miclaus
• Monitoring and Controlling Complex Manufacturing ProcessesSee how to monitor and control complex processes, screen multiple processes over time, detect process shift, and conduct and interpret non-normal capabilities studies. Presented by: Scott Wise
• Organizing Your Work into ProjectsJMP 14 Projects help you organize large numbers of analyses and reports. See how to construct a workspace that avoids overlapping or concealing JMP windows that you can minimize and maximize. Save reports and window layouts with the Project to display intact when the Project is reopened.
• Single-Cell RNA-Seq AnalysisSee how JMP Genomics can help deploy single-cell RNA-sequencing technologies (scRNA-seq) to uncover new and rare cell populations, track trajectories of distinct cell lineages in development, and reveal differentially expressed genes between specific cell types. Learn how to use a basic Single-Cell RNA-Seq workflow to perform standard exploration on a scRNA-seq data set, investigate customized marker genes, and launch ANOVA process for Differential Gene Expression analysis. Learn how to use R for t-SNE or UMAP visualizations. Presented by: Meijian Guan
• Specialized Modeling Techniques for Interpreting Consumer StudiesSee how to use JMP and JMP Pro to summarize survey data, extract latent factors from results and identify consumers likely to respond to offers. Presented by: Jian Cao
• Time Series ForecastingLearn how to forecast hundreds of time series easy and quickly. See how to use JMP 15 to streamline building, interpreting and automatically selecting the best-fitting forecasting model from a pool of 30 candidate models in a single run. Presented by: Jian Cao
• Understanding the Principles for Building Predictive ModelsGet the most from JMP and JMP Pro capabilities to help build informative predictive models. Learn about model types and techniques; the roles of test, training and validation data; and how to compare models. Presented by: Brady Brady
• Using Blocking When Designing ExperimentsJMP DOE tools incorporate methods to block designs to increase accuracy by controlling for sources of variability (blocking factors) that are not of primary interest to the outcome. Learn about blocking types, when and how to use them, and situations where they may be useful. See case studies creating several types of blocked designs. Presented by: Don McCormack
• Using Generalized Regression in JMP Pro to Create Robust Linear ModelsView case studies that show how to use Generalized Regression to model complex data where response variables have arbitrary distributions. Presented by: Brady Brady
• Using JMP® for Marketing Analytics and Consumer ResearchSee how to use JMP 14 Multiple Factor Analysis (MFA) in sensory studies and surveys to find groups of similar products and discover agreement and outliers among participants. MFA is similar to Principal Components Analysis (PCA). Learn how to use Max Diff to model consumer preferences for consumers who selected the best and worst product choices. Presented by: Jian Cao
• Using JMP® Pro for Enhanced Marketing Analytics and Consumer ResearchSee how to enrich predictive models by including latent free-form text information buried in reports, survey results or other documents. Learn how to use JMP Pro to identify and analyze items or events (such as product selections, risk factors or health conditions) that occur together. Presented by: Jian Cao
• Using JMP® Pro to Build Models Using Generalized Regression Variable Selection TechniquesSee how to use JMP Pro Generalized Regression tools for variable selection, modeling correlated and high-dimensional data, and choosing the best model for any response type, including continuous, binomial, counts, and zero-inflated. Presented by: Bill Worley
• Using JMP® Pro to Model Functional DataFunctional Data Explorer (FDE) turns data presented as functions, signals, or series into a form that can be analyzed. See how to use FDE to create models for functional data. Presented by: Peter Hersh
• Using Structural Equation Models to Uncover Relationships between Observed and Latent VariablesLearn about Structural Equation Models, when they might be useful, and how to create them to specify and test hypothesized relationships among observed and unobserved variables. See how JMP Pro starts by modeling means and variances for all variables, lets you see multiple views of the model while it is being built and provides model details that can alert you to model weaknesses prior to running the model. Learn how to compare fitted models to baseline unrestricted and baseline independence models. Presented by: Kemal Oflus