Expand Your Analytic Skills
1-hour, live, online webinar demos and Q&A by JMP Engineers show ways to apply JMP analytics and visualization to business problems. Demos are made into videos at least once during each JMP release. Four levels are offered:
- Basic – Content useful after completing the New User Welcome Kit.
- Intermediate – Detailed content that goes beyond JMP basic capabilities.
- Advanced – Specialized content requiring in-depth domain knowledge.
- JMP Clinical – Content for using JMP alongside SAS to analyze clinical trials.
You can register for any webinar or for multiple webinars at once. You will receive a confirmation email and two timely reminders for each webinar.
- Using Geographic Maps July 19, 2019 | 2 p.m. ET (11 a.m. PT)JMP lets you display data on geographical maps to transform numbers and geographic data into compelling images. See how to use Graph Builder and other JMP platforms to integrate maps into your graphical reports.
- Basic Analysis and Plotting August 2, 2109 2 p.m. ET (11 a.m. PT)You can answer many statistical questions using the basic analysis and data visualization capabilities in JMP. See how to visualize, summarize and analyze data to make analyses accessible to both statisticians and non-statisticians.
- Multivariate Analysis August 8, 2019 | 2 p.m. ET (11 a.m. PT)Multivariate analysis in JMP can help you analyze multiple dimensions while taking into account the effects of all variables on the responses of interest. Learn how to analyze and visualize multivariate data.
- Building Dashboards to Access and Share Updated Analyses August 9, 2019 | 2 p.m. ET (11 a.m. PT)JMP lets you easily, with no scripting required, build a single presentation-ready dashboard to run and present reports on a regular basis. Build the dashboard by combining windows or starting with a template, clicking report components, aggregating reports, and inserting graphs and pictures. Save and share the dashboard so you and others can run, interact with, and explore the reports.
- Data Mining and Predictive Modeling August 16, 2019 | 2 p.m. ET (11 a.m. PT)JMP lets you perform exploratory data mining and root cause analysis, intelligently handle missing data, and efficiently build and compare predictive models on historical data sets. See how to segment data for cross-validation, and learn to build models to understand which variables predict a particular outcome and to find variables that have the highest predictive value.
- Advanced Techniques for Visualizing Big Data August 22, 2019 | 2 p.m. ET (11 a.m. PT)Key JMP visualization techniques can help identify patterns in big data – patterns that are often difficult to uncover and represent simply yet compellingly. See how to use and add to your toolbox advanced graphing techniques for coloring, marking, linking, filtering and dashboarding.
- Using JMP Pro to Discover and Predict Patterns using Neural Network Models September 6, 2019 | 2 p.m. ET (11 a.m. PT)JMP offers neural network tools that are useful for analyzing data that contain both linear and non-linear relationships. Use JMP to develop models that can be used to understand underlying processes and hidden relationships for seemingly complex problems. See case studies that show 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. In the process you’ll also learn how to build nonlinear principal components.
- Deriving Sentiments from Opinions or Product Choices September 13, 2019 | 2 p.m. ET (11 a.m. PT)Text Explorer lets you curate free-form text to gain insight into themes and important terms. Combining text analysis with JMP Pro predictive modeling tools also lets you use supervised learning sentiment analysis to determine which words and phrases are most relevant to a specific problem. This information can guide product development and marketing campaigns. See several consumer and social media case studies that show how to use JMP to determine sentiments associated with purchasing behavior or customer reviews.
- Essentials of Designing Experiments Using JMP September 19, 2019 | 2 p.m. ET (11 a.m. PT)JMP DOE tools let you create a controlled set of tests to model and explore the relationship between factors and one or more responses for your situation. Learn about the basic types of designs and related terminology essential to making experimental decisions. See two case studies that demonstrate how to build, model, refine and interpret results.
- Unlocking the Power of Graph Builder September 20, 2019 | 2 PM ET (11 AM PT)Explore and present data easily using JMP’s interactive Graph Builder. The drag-and-drop interface is intuitive and lets you get started quickly. Advanced features allow you 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.
- Using Blocking When Designing Experiments September 24, 2019 | 2 p.m. ET (11 p.m. PT)JMP 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.
- Creating, Using and Sharing Journals September 27, 2019 | 2 p.m. ET (11 a.m. PT)JMP journals are an efficient way to store and present results as either static or dynamic presentations. They are useful for organizing presentations and let you link to data and resources outside JMP. This type of journal is dynamic because you can open reports and tables and interact with them to select points, subset data, or make more graphs.
- Basic JSL for Building Interactive Dialogs to Automate Workflows October 10, 2019 | 2 p.m. ET (11 a.m. PT)An easy way to regenerate reports in JMP is to capture and reuse scripts that are automatically generated. Often the next step in automating a workflow is to run these scripts from a customized dialog that allows the user to select specific data tables, columns, or row ranges. The JMP scripting language (JSL) includes a set of functions that make building interactive dialogs relatively simple.
- Accessing Databases October 10, 2019 | 2 p.m. ET (11 p.m. PT)JMP offers a variety of interactive ways to access simple and complex business and technical data that resides in SAS and all ODBC-compliant databases, enabling you to analyze your data and report results graphically using JMP.
- Specialized Custom DOE for Experienced Experimenters October 11, 2019 | 2 p.m. ET (11 a.m. PT)JMP’s Custom Designer lets you easily, interactively build experiment 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.
- Building Better Predictive Models Part 2: Implementing Models using JMP and JMP Pro October 24, 2019 | 2 p.m. ET (11 a.m. PT)JMP and JMP Pro offer an extensive set of tools to model your data and build predictive models suited to your data and needs. Understanding model types and techniques; the roles of test, training and validation data; and how to compare models helps you get the most predictive information from your models. This session, the second in a two-part series, uses case studies to demonstrate the application of principles using JMP and JMP Pro.
- Using Formulas to Get the Most Value from Your Data October 25, 2019 | 2 p.m. ET (11 a.m. PT)JMP has a very powerful, easy-to-use Formula Editor that lets you create a column whose values are computed by a formula and then store that formula as part of a column information. Formulas can be simple assignments of numeric, character, or row state constants, or they can contain complex evaluations based on conditional clauses. Formula values can be linked to, or dependent on, values in other columns and will be automatically recomputed whenever you edit the values in the columns to which the formula is linked.
- Reliability Analysis - Part 2 (Repairable Systems) November 1, 2019 | 2 p.m. ET (11 a.m. PT)JMP helps you pinpoint defects in materials or processes and identify design vulnerabilities so you can understand the best way to correct them. See how to use JMP to determine the most appropriate distribution to use for making reliability lifetime predictions on your products and components.
- Evaluating and Monitoring Your Process Using Measurement System Analysis and Statistical Process Control November 8, 2019 | 2 p.m. ET (11 a.m. PT)JMP offers a variety of tools and techniques to help evaluate a process for stability, bias and the precision of the measurement system. See how to analyze measurement system variation, characterize the common causes of system variability and set up process monitoring approaches that take into account measurement system variability.
- Transforming Data to Make Better Predictions November 15, 2019 | 2 p.m. ET (11 a.m. PT)One of the statistical assumptions for regression is that the error (variance) is distributed normally and uniformly across the range of the data. Although statisticians often transform data to a new scale (e.g. take the logarithm of the response) to make the error better match this criterion, engineers and scientists doing the same modeling might not be aware of this assumption. As a result, neglecting to transform the data when creating a model can yield physically impossible and potentially embarrassing results, such as negative values of hardness, resistivity, or the number of defects. JMP 13 guides users to choose an appropriate transformation that will yield a logical and useful model.
- Advanced Techniques for Visualizing Big Data December 5, 2019 | 2 p.m. ET (11 a.m. PT)Key JMP visualization techniques can help identify patterns in big data – patterns that are often difficult to uncover and represent simply yet compellingly. See how to use and add to your toolbox advanced graphing techniques for coloring, marking, linking, filtering and dashboarding.