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

Data Summary and Analysis

Review of summarizing and graphing data in JMP 13. Univariate and bivariate data analysis with Distribution and Fit Y by X, and extending these to multiple predictor models with Fit Model. Introduction to the following platforms: Partition, Variable Selection Methods in Fit Model (under GenReg personality), Mixed Models in JMP Pro, Multivariate (including Principal Components and Clustering), and Text Explorer.

JMP features demonstrated:

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

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.

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. 

Feb 23rd, 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

 

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.

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.

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 anintroduction to survival analysis and fitting mixed models (in JMP and JMP Pro).

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 webcast 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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