-
Basic
Using Journals to Streamline Sharing Results with JMP Users
08 July | 11:00 BST (12:00 CEST)See how to use the JMP Journal Editor to create a JMP journal for storing and presenting static or dynamic results with JMP users. Learn to format and embed links to JMP and third-party data and reports. Learn how to reference and bundle files to share with others. See a 30-minute demo and stay on if you want to join 15-30 minutes of Topic Discussion and Q&A.
-
Basic
Getting Beyond Spreadsheet Analytics with Visual Data Discovery
09 September | 11:00 BST (12:00 CEST)After your data is prepared for analysis, use JMP to interactively explore, uncover hidden relationships, and start understanding your data. Learn how to uncover relationships visually to identify and correct missing information, review key summary statistics, and examine subsets of interest uncovered during exploration. See a 30-minute demo and stay on if you want to join 15-30 minutes of Topic Discussion and Q&A.
-
Basic
Using Multivariate Methods to Explore Data
30 September | 11:00 BST (12:00 CEST)Learn to use statistical tools to explore and describe multidimensional data. Quickly and easily identify correlations between variables. Uncover and remove outliers to prevent them from biasing results, or extract them for further investigation. Group observations that are most similar to each other, and reduce the number of variables in a dataset to describe features in the data and simplify subsequent analyses.
-
Basic
Specifying and Fitting Models
14 October | 11:00 BST (12:00 CEST)Learn about the variety of JMP options suitable for modeling various types of data to address your needs. See the available Fit Model capabilities and learn when and how to use the ones that are most useful for continuous, categorical and/or complex data sets, where there may be more predictors than observations.
-
Basic
Optimizing Processes Using Designed Experiments
25 November | 11:00 GMT (12:00 CET)Learn to use the six-step framework for creating a successful designed experiment to determine the relationship between the factors impacting a process and the optimal process output. See how to describe the goal, specify effects for an assumed model, generate a design, collect experimental run data, create and fit a model incorporating experimental data, and use factors to optimize and improve settings. See a 30-minute demo and stay on if you want to join 15-30 minutes of Topic Discussion and Q&A. This session covers: definition of terms; Custom Design tools to specifying responses, factors and runs; understanding interactions; specifying models and model effects; evaluating models; and determining optimal factors for the process.
-
Basic
Analyzing, Improving and Controlling Process Stability and Quality
09 December | 11:00 GMT (12:00 CET)See how to deploy JMP’s interactive quality and SPC capabilities to identify routine (common-cause) and abnormal (special-cause) process variation over time. Learn how to use JMP to help you determine if a process is stable and predictable as well as how to track the impact of adjusting abnormal variation.
Prerequisites to get the most from Mastering JMP:
