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Academic Webinar Library

The JMP Global Academic Program provides live webinars each semester for faculty and students wanting to learn about JMP. Below you will find recorded versions of our most recent webinar for each topic in the series. 

To sign up for an upcoming live webinar, please visit our Live Academic Web Series page.  

Data Exploration and Analysis

JMP Basics for Professors and Students

This webinar is designed to serve as an initial introduction to JMP. It covers basic navigation, JMP menus and data tables, summarizing and graphing data, and resources for getting started.

JMP features demonstrated:

Analyze > Distribution, Rows > Hide and Rows > Exclude, dynamic plot linking, Rows > Data Filter, Analyze > Fit Y by X (Oneway), Analyze > Multivariate Methods > Multivariate, Analyze > Text Explorer, Analyze > Fit Model, and Graph > Graph Builder

Resources for Teaching and Learning JMP

In this webinar we describe resources to help teach statistics and statistical concepts. We demonstrate built-in modules for teaching core statistical concepts, introduce calculators for showing how statistics are calculated, talk about sample data sets available within JMP, and talk about other tools for demonstrating, animating, and teaching statistical concepts.

Visualization and Graphics

Overview of graphing in JMP using the Graph Builder. Topics include: using drop zones, graph types and controls, creating custom error bars, graph customizations, and exporting graphics for publication or sharing on the web.

JMP features demonstrated:

Graph > Graph Builder

Data Preparation and Modeling

In this webinar we explore several platforms in JMP that make data preparation quick and easy. Then, we show how to build predictive models in JMP Pro. The emphasis is on tools and techniques commonly used by academics in business schools and analytics programs, including multiple linear and logistic regression, classification and regression trees, advanced tree methods, neural networks, model validation, and model comparison and selection.

Data Visualization and Modeling

Data Visualization and Modeling will show how to construct interactive data visualizations and predictive models in JMP Pro. The emphasis will be on tools and techniques commonly used by students and faculty in business schools and analytics programs, including dynamic graphics, multiple linear and logistic regression, classification and regression trees, advanced tree methods, neural networks, model validation, and model comparison and selection.

Advanced Multivariate Visualization and Analysis

In this webinar we will explore high-dimensional data visualization using JMP's graphing and multivariate analysis platforms (e.g. Multivariate, Cluster, PCA, and Factor Analysis).

Statistical Quality Control

Guest Speakers:
Brenda S. Ramírez, M.S. and José G. Ramírez, Ph.D.
ZenEos, LLC

Ms. Brenda Ramírez and Dr. José Ramírez are long-time practitioners and educators of Statistical Quality Control techniques in the semiconductor, chemical, electronics, and biotechnology industries. This webinar covers examples from their new book, "Douglas Montgomery’s Introduction to Statistical Quality Control: A JMP® Companion." This JMP-focused companion book demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery’s book, and we cover several of these examples in this webinar. 

Biostatistics

Guest Speaker:
Trevor Bihl, Ph.D.
Faculty in the Department of Pharmacology and Toxicology and Adjunct Faculty in the Biomedical, Industrial & Human Factor Engineering Department, Wright State University

Dr. Bihl is both a research scientist/engineer and an educator who teaches biostatistics, engineering statistics, and programming. In this webinar, Dr. Bihl talks about data wrangling and data analysis methods and examples from his recent book, "Biostatistics Using JMP: A Practical Guide," and he discusses his experience teaching these topics and provides a bit of advice to academics in this field. 

Preparing Data for Analysis with JMP

Guest Speaker:
Robert H. Carver, Ph.D.
Professor of Management and Data Science Program Director
Stonehill College

The 2016 GAISE College Report advocates the incorporation of technology, real data, multivariate thinking, and the importance of the full analytic process in college-level statistics courses. It is clear that data management –including acquisition, merging, subsetting, and preparation -- is a key part of the process.  Yet it is a challenge for college instructors to add data management to an already-full course. Data management tasks can be daunting for a student, and the prospect of teaching SQL in Intro Stat can appear overwhelming.

Teaching with JMP

Resources for Teaching and Learning JMP

In this webinar we describe resources to help teach statistics and statistical concepts. We demonstrate built-in modules for teaching core statistical concepts, introduce calculators for showing how statistics are calculated, talk about sample data sets available within JMP, and talk about other tools for demonstrating, animating, and teaching statistical concepts.

Teaching Introductory Statistics with JMP

Coming Thursday, April 27, 2017

The webinar is designed to serve as an initial introduction to teaching basic statistics with JMP. It covers how to teach basic navigation, JMP menus and data tables, summarizing and graphing data, and resources for getting started.

Apr 27th, 2017. Presented by: Julian Parris

Teaching ANOVA and Regression with JMP

In this webinar, we will explore platforms in JMP made for carrying out ANOVA and Regression analyses, as well as interactive teaching and learning tools to explore concepts related to ANOVA and Regression.

Feb 7th, 2017. Presented by: Ruth Hummel

Teaching Engineering Statistics with JMP

In this webinar we demonstrate tools in JMP to make teaching engineering statistics most effective. 

Oct 11th, 2017. Presented by: Volker Kraft

Teaching Design of Experiments with JMP

In this webinar we demonstrate tools in JMP to make teaching the design of experiments most effective. 

Nov 14th, 2017. Presented by: Volker Kraft

Teaching Predictive Modeling with JMP Pro

In this webinar we show how to teach the tools and techniques commonly used by academics in business schools and analytics programs, including multiple linear and logistic regression, classification and regression trees, advanced tree methods, neural networks, model validation, and model comparison and selection.  We also introduce new predictive modeling features in JMP 13 Pro, including Formula Depot and Text Explorer.

November 7th and 9th, 2017. Presented by: Mia Stephens

 

Using the JMP Statistical Concept Applets

In this webinar we demonstrate the Built-in applets in JMP:

1. Distribution Calculator — calculate critical values and p-values in various distributions
2. Distribution Generator — build discrete distributions and explore PDF and CDF
3. Sampling Distribution of Sample Means
4. Sampling Distribution of Sample Proportion
5. Confidence Interval for the Population Mean
6. Confidence Interval for the Population Proportion
7. ***I skipped the Hypothesis Test for Mean and the Hypothesis Test for Population Proportion, but you can get the idea from the other applets, and use the Help documentation for more help!***
8. Demonstrate Regression
9. Demonstrate ANOVA
10. Additional Resources: Demonstrate P-Value
11. Additional Resources: Permutation Test for Two Means or Medians
12. ***I skipped the Additional Resources options for Demonstrate Power, Bayes Rule, and Collinearity. Use the Help documentation for more help!***

Nov 26th, 2018. Presented by: Ruth Hummel

JMP Student Edition: Data Exploration and Analysis

JMP Student Edition is a very inexpensive (and in many cases free) option for students and teachers in Intro and Intermediate Statistics courses. In this webinar we cover using JMP Student Edition for data exploration and analysis. (The topics covered are also in JMP and JMP Pro.) You can request a free instructor copy of JMP Student Edition here. Find more licensing and textbook integration information here.

Nov 26th, 2018. Presented by: Ruth Hummel

Better Teaching (and using) Data Analytics for Materials Science

In this webinar we show university instructors and students best practices to better teach and learn the best data analysis to easily discover, design and manufacture new materials and accelerate materials property calculation using exploratory data analysis, Machine Learning, design of experiments and data modeling.

Jun 19th, 2019. Presented by: Volker Kraft

Design of Experiments and Research

Engineering Statistics

In this webinar we show how to graph and analyze data in JMP, with an emphasis on tools commonly used by academics in engineering and industrial fields, including control charts, measurement systems analysis and designed experiments.

Advanced Research Methods with JMP

With JMP Pro for Academic Research, you get all the sophisticated techniques and advanced analytics available in JMP Pro. For academic researchers, this translates into a greater ability to efficiently extract meaning from complex data and build better-performing models. In this webinar we see how to estimate a priori power for complex designs using the new Simulate facility in JMP Pro 13. We also expore tools for finding outliers, calculating new variables, shaping and restructuring data, as well as analysis methods for multiple comparisons in the context of large ANOVA designs.

Genetics and Genomics with JMP Genomics

An Overview of JMP Genomics: Expression, GWAS, and Plant Breeding

JMP Genomics is a statistical discovery software package for universities and research organizations that enables statistical geneticists, biologists, bioinformatics experts and statisticians to uncover meaningful patterns in high-throughput genetics, methylation and expression (metabolomic, transcriptomic and proteomic) data. In this webinar we look at three topic areas in genetic and genomic research and see how JMP Genomics speeds up the analysis and discovery process for (1) Expression Analysis, (2) GWAS, and (3) Plant Breeding. 

Getting Started with JMP Genomics: Overview of Studies, Import, and Workflows

In this video we take a tour of the Genomics Started in JMP Genomics software.
Use this Genomics Starter to explore examples, add studies, import data, and use workflows for common analytical processes.

Getting Started with JMP Genomics: Creating the EDF and Importing SAM and BAM Files

Learn to import SAM or BAM files into JMP Genomics, taking raw (but aligned) data files and creating appropriate count data files that can be used in further analyses within JMP Genomics.

Special Topics

The Scientific Workflow in JMP: Creating Reproducible Analyses

In the webinar we will see how to use JMP journals and scripting to keep track of an analysis workflow in a professional research environment. Our attention will be on how to create analyses that are easily reproducible if data were to change, and the documentation of an analysis process for reporting in journals or to professional colleagues.

Teaching Statistics in the Health and Life Sciences

This webinar will show how to teach the tools and techniques commonly used by professors and students in health and life sciences fields, including ANOVA and regression, mixed models, survival analysis, designed experiments, and graphical tools.

JMP Integration and Extensibility

In this webinar we explore the many ways to extend core JMP functionality through its integration with SAS, R, Matlab, and even Python, C, and Javascript.

Biostatistics and Health Sciences in JMP

This webinar covers tools commonly used within the health sciences, including interactive graphics, descriptive statistics, fitting distributions, confidence intervals and hypothesis tests, odds ratios, relative risk, linear and logistic regression, and an introduction to survival analysis and fitting mixed models (in JMP and JMP Pro).

Biostatistics and Health and Life Sciences in JMP (Advanced)

This webinar covers how to use the tools and techniques commonly needed by researchers, practitioners, professors, and students in biostatistics and the health and life sciences fields. Topics covered include ANOVA and regression (including variable selection using penalized regression), mixed models (including split-plot or heirarchical and repeated measures), survival analysis, and designing an experiment in JMP.

April 12th, 2018. Presented by: Ruth Hummel

JMP for Social Science Research

Overview of tools and analyses useful for research in the social sciences, including tabulating, graphing, ANOVA and regression.

JMP for Grading and Assessment

The JMP for Grading and Assessment webinar introduces features of JMP useful for managing student grades in courses. You will learn how to: Import and export student grades to campus CMS systems, check grades for entry errors, create weighted averages across assignments, create standardized scores for assignments, create score columns dropping a lowest score, and how to generate letter grades based on scoring criteria.

JMP for Institutional Research

JMP for Institutional Research will show how to create tables, make graphs and geographic maps, and analyze data in JMP, with an emphasis on tools commonly used by professionals in Academic Institutional Research.

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