On-Demand Webinars
Statistically Speaking
Virtual keynote and panel conversations showcasing innovative organizations and their use of cutting-edge statistics.
- Data Visualization: Interactions that Speed DiscoveryIn this Statistically Speaking, Xan Gregg, a data visualization expert and Distinguished Engineering Fellow at JMP, demonstrates and categorizes a dozen different methods of interactively exploring data to speed time to insight.
- Innovative Applications in Designed ExperimentsHear from three subject experts as they explore recent innovations within experimental design methods, provide insight into the utility of combinatorial testing in DOE, and discuss how applications of DOE in the aerospace industry can reduce costs and improve product quality.
- How to Choose a Chart Type (It’s Trickier Than You Think…)In this Statistically Speaking, Nick Desbarats shows examples of decision tools from his "Practical Charts" course that allow chart creators of any experience level to quickly and reliably make expert-level chart choices from among 50 common types.
- Statistical Strategies to Accelerate Development (Not Slow It Down)In this Statistically Speaking, Julia O'Neill uses the Quality by Design (QbD) framework for maintaining an accelerated timeline while satisfying reviewer expectations.
- On 100 Years of the Shewhart Control ChartIn this Statistically Speaking, we’ll learn from Bill Woodall and Annie Dudley as they provide a non-mathematical overview of process monitoring methods from their introduction by Walter Shewhart in the Industry 2.0 era to the challenges now faced in Industry 4.0.
Technically Speaking
Case studies that demonstrate how to approach real-world data analysis problems.
- Producers, Consumers, and Servicers: Three Perspectives on ReliabilityJerry Fish shares core reliability analysis techniques and best practices by walking through a hypothetical case study based on HVAC reliability.
- 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.
- 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.
- Build - and Choose - Better Models Faster: Data Scientists in a BoxKemal Oflus demonstrates how to utilize machine learning methods without having to write and tune algorithms by leveraging your subject matter expertise.
- Design of Experiments With Mixtures: A Case Study in Plastics FormulationsIn this 30-minute webinar, Wendy Tseng will show you how mixture experiments can be used to accelerate formulation development, optimize product characteristics and minimize costs.
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.
- 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.
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.
- Vishay Semiconductor : Exceptional Efficiency Through Exploratory Analysis and Effective WorkflowsWatch this video in which Fabrizio Ruo Redda from Vishay Semiconductor explains how exploratory data analysis (EDA) and the analytic workflow can boost efficiency and empower innovative companies to harness the full potential of data-driven decision making.
- Imperial College: Teaching Design of Experiments to chemists: lessons from Imperial College LondonFirst-hand experience from Imperial College London: Join us to learn about the importance and efficient implementation of a DoE training program in chemistry
Best Practices in Reliability Data Analysis
Statistical techniques for more profitable reliability insights.
Mastering JMP
Practical JMP techniques to address common analytic challenges.
Analytically Speaking
Thought-provoking interviews with leading experts in analytics.
Building Better Models
Improve your models with modern predictive modeling techniques.