Mastering JMP^®

Upcoming Live Webinars

Basic Essentials of Designing Experiments Jan. 22 | 2:00 p.m. ETSee how to get started with Design of Experiments using two case studies that demonstrate how to efficiently and effectively solve science and engineering problems by strategically exploring the opportunity space. Learn how to design a controlled set of tests to model and explore the relationship between the inputs and outputs of your process.
Basic Creating Custom Drill-Down Graphs to Enhance Interactive Reporting Jan. 29 | 2:00 p.m. ETSee how to reveal different types of instant information about a datapoint by hovering over a visual element in a graph. Learn how to create drill-down enabled customized hover labels with graphlets (thumbnail of a related graph or an image) and gridlets (text from the label columns or from the columns associated with the visualization) to provide immediate context while keeping you in the flow of analysis.
Basic Basic Analysis and Plotting Feb. 5 | 2:00 p.m. ETSee how to answer many statistical questions using the basic analysis and data visualization capabilities in JMP. Learn how to visualize, summarize and analyze data to make analyses accessible to both statisticians and non-statisticians.
Intermediate Using Definitive Screening Designs to Get More Information from Fewer Trials Feb. 11 | 2:00 p.m. ETSee how to use modern Definitive Screening Designs (DSDs) that provide the most efficient method for detecting main effects and curvature effects for each factor. Learn the principles and value of Definitive Screening Designs, how they differ from Fractional Factorial and textbook designs, and how to use the newest JMP Definitive Screening Design tools.
Basic Specifying and Fitting Models Feb. 12 | 2:00 p.m. ETLearn 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 Single-Cell RNA Sequencing Analysis Feb. 18 | 2:00 p.m. ETSee 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.
Basic Using Formulas to Get the Most from Your Data Feb. 19 | 2:00 p.m. ETSee how JMP's powerful, easy-to-use Formula Editor lets you create columns whose values are computed by a formula and then store the formula as part of column information. Learn how to build formulas that are simple assignments of numeric, character, or row state constants, or that contain complex evaluations based on conditional clauses. See how formulas are linked to, or dependent on, values in other columns and how those values will be automatically recomputed when values change.
Basic Basics of Using Graph Builder Feb. 26 | 2:00 p.m. ETLearn how Graph Builder lets you explore data dynamically until you find the visualization that best communicates the story in your data. See how to drag and drop to different zones, change graph styles, and undo and redo with agility. A case study shows you how to play with, drill into and run graphical analyses on your data.
Intermediate Using Multivariate Methods to Explore Data Mar. 5 | 2:00 p.m. ETSee how 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.
Intermediate Transforming Data to Make Better Predictions Mar. 11 | 2:00 p.m. ETLearn to understand the value and pitfalls of transforming data, and how to choose an appropriate transformation that will yield a logical and useful model. Understand how to handle one of the statistical assumptions for regression - that the error (variance) is distributed normally and uniformly across the range of the data. See how to transform data to a new scale to make the error better match this criterion to avoid possibly creating a model yielding physically impossible and potentially embarrassing results, such as negative values of hardness, resistivity, or the number of defects.
Intermediate Analyzing Reliability for Non-Repairable Systems Mar. 12 | 2:00 p.m. ETLearn how to use JMP to identify vulnerabilities and make reliability lifetime predictions on your products and components. See how to analyze non-repairable systems, including fitting life distributions, accelerated life testing, degradation analysis, stability analysis and assembling components together to predict system reliability.
Basic Using Geographic Maps Mar. 19 | 2:00 p.m. ETLearn how to 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.
Advanced Analyzing Genetic Diversity and Applying Genomic Selection Methods for Plant Breeding Mar. 25 | 2:00 p.m. ETLearn 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.
Intermediate Analyzing Reliability for Repairable Systems Mar. 26 | 2:00 p.m. ETLearn how to 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 estimate downtimes and identify key components that govern downtime for repairable components and systems. See how to compare the reliability of one design versus another to determine if changes improve product performance.
Basic Identifying Important Variables in Your Data Apr. 2 | 2:00 p.m. ETLearn to use simple statistical techniques to help identify important variables and interactions in your data as a precursor to building high performing prediction models and uncovering additional insights. See how to use a variety of tools to quickly identify critical variables and root cause significant events in your data.
Basic Conducting Medical Safety Reviews of Clinical Trials Apr. 8 | 2:00 p.m. ETThis session is for JMP Clinical users interested in using interactive graphics and statistical summary reports to help evaluate safety signals and early evidence of the benefit of the tested drug in ongoing clinical trials. See examples of how to use JMP Clinical to examine adverse events, abnormal findings and drug efficacy indicators to help expedite the review, analysis and reporting of clinical trials.
Basic Analyzing and Improving Quality Apr. 9 | 2:00 p.m. ETSee how to use the flexible import capabilities and powerful data manipulation tools in JMP to shape your data and meet any analysis challenge. Learn how to combine and organize data, clean up inconsistencies in imported or inherited data and apply attributes to streamline analysis and reporting.
Intermediate New in JMP 16 and JMP Pro 16 Apr. 16 | 2:00 p.m. ETJMP 16 and JMP Pro 16 include enhancements and new statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.
Basic Using Structural Equation Models to Uncover Relationships between Observed and Latent Variables Apr. 22 | 2:00 p.m. ETLearn 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.
Basic Collaborating Using JMP Live Apr. 23 | 2:00 p.m. ETLearn how to publish data, dashboards or reports to a private, secure web site. Understand Groups and how they are used. Learn to create, manage and modify Personal Groups for reports you publish. See how to publish reports, share reports and automate publishing and update of routine reports. See how colleagues can adjust analyses and reports using the standard JMP exploratory data tools such as the local data filter or column switcher.
Basic Identifying Unusual Patterns that Might Identify Data Integrity Issues Apr. 30| 2:00 p.m. ETLearn to screen data tables for unexpected patterns that might indicate the presence of data integrity issues, from data recording or formatting errors to data falsification. See several case studies in financial, medical, and industrial domains that show how to interactively look for patterns in data tables such as duplicate series of values, linear relationships between columns across groups of rows, properties about the formatted values, and certain distributional properties.
Basic Extracting Practical Information from Quality-by-Design Models May 7 | 2:00 p.m. ETSee how to design and execute structured experiments to efficiently design and manufacture pharmaceutical and medical devices. Learn how to address the influence of real-world variation patterns when simulating and determining settings of critical process parameters that meet the requirements for critical quality attributes.
Advanced Using Design of Experiments Methods for Efficient Modeling & Simulation May 13 | 2:00 p.m. ETSee how to use Design of Experiments (DOE) methods to extract the most useful information from the smallest number of computer simulation runs. Learn how to sequentially run blocks of simulations to conduct the fewest trials using the minimum computing resources necessary to analyze the sensitivity of the factors being studied.
Basic Deriving Sentiments from Opinions or Product Choices May 14 | 2:00 p.m. ETSee how to use Text Explorer to curate free-form text and gain insight into themes and important terms. Learn how to combine text analysis with JMP Pro predictive modeling tools for supervised learning sentiment analysis that helps determine which words and phrases are most relevant to a specific problem. See several consumer and social media case studies that show how to use JMP to determine sentiments associated with purchasing behavior or customer reviews.
Basic Selecting Proper Sample Size for Your Designed Experiment May 21 | 2:00 p.m. ETLearn how to help balance experimental test goals with resource constraints. See how to determine how many runs, experimental units or samples you will need for your experiment. Learn how to examine tradeoffs and determine how many units you will need to detect differences in treatments means, construct an interval with a specified width and/or estimate failure time.
Basic Time Series Forecasting May 27 | 2:00 p.m. ETLearn how to forecast hundreds of time series easy and quickly. See how to use the new JMP Pro 15 platform to streamline building, interpreting and automatically selecting the best-fitting forecasting model from a pool of 30 candidate models in a single run.
Intermediate Screening and Controlling Manufacturing Processes June 4 | 2:00 p.m. ETUnderstand 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.
Advanced Retrieving and Organizing Text for Analysis June 10 | 2:00 p.m. ETSee how to use Text Explorer to analyze unstructured text, such as comment fields in surveys or incident reports. Learn how to interactively consolidate similar terms, recode terms, understand the underlying patterns in your text data and include the data in your analyses.
Basic Producing and Interpreting Basic Statistics June 11 | 2:00 p.m. ETLearn to interactively produce analysis graphs and associated statistics at the same time. See how to generate and interpret basic summary statistics, fit distributions and perform hypothesis testing on the mean and on the standard deviation.
Basic Using Hypothesis Testing to Make Informed Decisions June 18 | 2:00 p.m. ETLearn how to use JMP to make conclusions related to a situation or problem on the basis of data obtained from a sample of data, so you can use the results to improve quality and provide guidance on production control and improvements. See examples that demonstrate the basic principles that you can easily apply to your work.
Basic Data Mining and Predictive Modeling June 25 | 2:00 p.m. ETLearn how to explore data, analyze root causes, intelligently handle missing data, and efficiently build and compare predictive models on historical data sets. See how to graphically explore data for relationships that may be important for models, build models using JMP, and build and compare models using JMP Pro's advanced modeling capabilities.

Prerequisites to get the most from Mastering JMP:

JMP^®New User Welcome Kit
Getting Started with JMP^®
JMP^®DOE Intro Kit (for users designing experiments)