Whether for data exploration or for publication, every quantitative researcher needs to visualize their data. Graph Builder in JMP Student Edition, full-featured and no-cost JMP software for all academic users, is a robust, general-purpose data visualization tool, able to make many basic and specialized graphs through an easy, drag-and-drop interface. This JMP Academic webinar provides an introduc...
Research publications and presentations call for high-quality data visualizations. JMP Student Edition, full-featured and no-cost JMP software for all academic users, is capable of producing highly customized, publication-quality graphics. This JMP Academic webinar shows you how, with topics including: Customizing graph formats and aesthetics.Creating reusable graph templates.Exporting graphs in h...
Academic researchers commonly use ordinary least squares regression to investigate relationships between variables. While regression is ubiquitous, using it effectively requires technical knowledge about how to build and interpret regression models appropriately. This JMP Academic webinar helps you build this knowledge and shows you how to implement ordinary least squares regression in JMP Student...
Ordinary least squares regression is a foundational statistical method in many academic research settings, but to draw meaningful conclusions from the results, you first should confirm that the regression model doesn’t exhibit any problems. If you’re in need of a primer on common problems in regression modeling and what to do if you encounter them, then this JMP Academic webinar is for you. Topics...
Sample size is a major consideration when designing experiments or other research studies, and JMP Student Edition has a suite of interactive tools for calculating sample size and power. This webinar shows you how to use JMP Student Edition to teach foundational power analysis techniques taught in design of experiments and research methods courses. Topics include: Power analysis for one- and tw...
JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to use JMP Student Edition to teach modern algorithmic techniques for design of experiments. Topics include: JMP's Custom Designer for algorithmically created, statisti...
JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to teach classical design of experiments techniques with JMP Student Edition. Topics include: Classical screening designs (e.g., fractional factorial).Classical response...
JMP Student Edition has extensive regression and ANOVA capabilities implemented in an interactive, visual interface. This webinar shows you how to use JMP Student Edition to teach intermediate regression and ANOVA techniques that are covered in most courses of study in statistics, science, and engineering. Topics include: Factorial ANOVA and post-hoc tests.Multiple regression with continuous an...
JMP Student Edition has extensive regression and ANOVA capabilities implemented in an interactive, visual interface. This webinar shows you how to use JMP Student Edition to teach foundational regression and ANOVA techniques that are covered in most courses of study in statistics, science, and engineering. Topics include: Two-sample t-test.One-way ANOVA and post-hoc tests.Simple regression.Rele...
Much of modern statistics education teaches data analysis not as a collection of disparate methods and formulas, but as an investigative process that provides a foundation for effective decision-making. Exploratory data analysis (EDA) is a core component of this approach, and JMP Student Edition’s visual, interactive interface allows students to seamlessly explore data to hone investigative ski...
JMP Student Edition is a professional statistics environment rather than a simplified teaching tool. In practice, this breadth is a strength — so long as students receive proper guidance. This webinar presents practical strategies that instructors can use to help students succeed in JMP from day one. Topics include: The supportive baseline provided by the standard JMP Student Edition interface....
Are you new to teaching with JMP Student Edition statistics software? This webinar covers everything you should know to start teaching with the software effectively. Topics include: A review of JMP Student Edition’s extensive capabilities.How you and your students can get JMP Student Edition at no cost.Navigating the interface.Importing data, saving and exporting results.Resources for learning ...
JMP Student Edition 19 is available now and is packed with exciting new features. This webinar reviews a selection of new features relevant to instructors and researchers, from interface improvements to entirely new analysis platforms, including: Data table enhancementsGraph Builder improvementsJMP Notebook interface for coding with JSL and PythonBayesian optimizationPropensity score methods fo...
Special Guest Presenter:
Prof. Nathan Coates
Faculty Director, Master of Science in Business Analytics and AI
Villanova University
The predictive power of machine learning models depends on hyper-parameter tuning. Years of university machine learning exercises have led Prof. Nathan Coates of Villanova University to develop a method for adjusting hyper-parameters, called Tune and Zoom, that has hel...
Teaching time series analysis and forecasting involves establishing foundational concepts, such as stationarity and autocorrelation, as well as teaching one or more specific analysis techniques. JMP Student Edition’s interactive time series tools can help you make these concepts and techniques more approachable to students. This webinar guides you in using JMP Student Edition to teach time seri...
After mastering simple and multiple regression, students can build skills in advanced regression techniques for situations that standard least squares can't readily handle. This webinar, intended for statistics instructors, guides you in using JMP Student Edition to teach a selection of advanced regression techniques for performing model selection, avoiding overfitting, and handling non-normal ...
If you teach with JMP Student Edition, you should be aware of some lesser known features that can help you use the software more effectively with your students. Want to customize the statistical outputs that your students see? Need a better way of sharing JMP files and analyses with the class? This webinar presents tips and tricks for these and other needs that instructors commonly face. Topics...
If you teach with JMP Student Edition, don’t miss JMP’s wide range of freely available teaching resources that you can use to enrich your course. This webinar, the second in a two-part series, will review several JMP teaching resources and how to use them effectively, including: Interactive applets for teaching concepts such as sampling distributions and confidence intervals.Statistical calcula...
If you teach with JMP Student Edition, don’t miss JMP’s wide range of freely available teaching resources that you can use to enrich your course. This webinar, the first of a two-part series, reviews several JMP teaching resources and how to use them effectively, including: The Learning Library: A collection of quick video tutorials and one-page guides that teach students how to use JMP (so you...
Structural equation modeling (SEM) is a general-purpose modeling framework that is useful for testing theories about complex interrelationships between variables, both observed and latent. For example, SEM could be applied to employee survey data to test competing theories about how motivation, stress, leadership, compensation, and job satisfaction influence one another. While traditionally ap...
In analyzing data from quantitative studies, researchers often run into a common statistical challenge: The observations aren’t independent from one another. For example, if an ecology study is conducted across multiple geographic locations, observations may not be independent due to uncontrolled environmental factors that differed across locations. Or if a survey study involves repeatedly sur...
If there’s one caveat that most of us remember about least squares regression, it’s this: Regression assumes normality. More specifically, least squares regression assumes that the distribution of Y given X is normal, or equivalently, that the distribution of residuals is normal. But what if our data violate this assumption (e.g., our response distribution is highly skewed or consists of only ...
With the JMP Student Edition, academic researchers get no-cost access to all JMP Pro capabilities, such as Python integration and more advanced tools for building machine learning models. This webinar will demonstrate advanced analytical applications for researchers in Chemistry, Chemical Engineering, Materials Science, and related fields by enhancing JMP Student Edition’s native features with...
In biostatistics, survival analysis is a collection of statistical methods for analyzing the time it takes for some event of interest to occur (i.e., time-to-event data). For example, a study of disease progression might assess time to patient mortality or recovery. Survival analysis helps researchers understand how the probability of a biological or medical event changes over time and how that...
Get JMP software free for academic use at jmp.com/student Semiconductor engineering is a data intensive process. Engineers need to visualize and analyze vast amounts of data to improve yield, identify and rectify drifts or failures, monitor process health, and more. JMP statistical software, used widely in the semiconductor industry, is a strong tool for teaching students in semiconductor ...
Get JMP software free for academic use at jmp.com/student Predictive modeling encompasses a range of techniques for using historical data to predict future outcomes, and it has applications in nearly all quantitative disciplines. The JMP Student Edition has robust predictive modeling capabilities, including a range of algorithms for classification and regression, automated model cross-valida...
Get JMP software free for academic use at jmp.com/student Data analytics courses are a core part of curricula in business, marketing, information systems, and related fields. These courses frequently cover a range of data analysis techniques, from basic data visualization and analysis through advanced methods that can include machine learning, time series forecasting, or text mining, to name...
Get JMP software free for academic use at jmp.com/student The American Chemical Society’s guidelines on undergraduate chemistry education recommend that students learn to “analyze data with appropriate statistical methods and software.” JMP statistical software, used widely in the chemical industry, can help students master statistical methods through a no-code, graph-first interface. This ...
Get JMP software free for academic use at jmp.com/student The American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) recommend that introductory statistics courses introduce students to multivariable thinking: reasoning about relationships between more than two variables. The JMP Student Edition’s interactive and visual tools can help stud...
Get JMP software free for academic use at jmp.com/student Modern industrial processes can be very complex and require use of statistical quality control (SQC) methods for monitoring process behavior and maintaining outputs within specification. For many engineering students, learning SQC methods is central to preparing for the challenges they will face in their careers. This webinar demonstra...
Get JMP software free for academic use at jmp.com/student Consumer researchers use specialized quantitative methods for understanding consumer preferences and behaviors. In an increasingly data-driven world, students in business and marketing are likely to encounter – or even apply – such methods at some point in their careers. This webinar reviews JMP tools and tips for teaching several cons...
Get JMP software free for academic use at jmp.com/student Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate statistical methods. JMP software can make learning multivariate methods more accessible and engaging to students through its interactive, no-co...
Get JMP software free for academic use at jmp.com/student Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate analysis methods. JMP statistical software can make multivariate methods more accessible and engaging to students through its interactive, no-co...
Get JMP software free for academic use at jmp.com/student Univariate statistics and probability form a foundation for students' understanding of more complex statistical concepts. This webinar provides the knowledge you need to teach this important topic with JMP. Topics include: Describing variables through graphical and numerical summariesStatistical inference for categorial and continuous ...
Get JMP software free for academic use at jmp.com/student JMP and Python are great complements to one another: JMP offers wide data visualization and analysis capabilities in an easy, visual, point-and-click interface, and Python brings a versatile set of additional capabilities. As of JMP 18, users have greatly improved options for integrating Python into their JMP workflow. This webinar rev...
Get JMP software free for academic use at jmp.com/student Following on the previous webinar, Designing and Analyzing Experiments, Pt. 1: An Introduction, this webinar introduces a selection of intermediate and advanced concepts and techniques in the design of experiments (DOE) and how to apply them in JMP. Topics include: Statistically optimal designs that are custom-built to unique experim...
Get JMP software free for academic use at jmp.com/student Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how...
Get JMP software free for academic use at jmp.com/student Survey data is ubiquitous in social science, business, and healthcare research, and its analysis poses special considerations and challenges. This webinar reviews fundamental survey analysis techniques and how to implement them in JMP, including: Preparing survey data for analysis (e.g., recoding response levels, handling multiple-res...
Get JMP software free for academic use at jmp.com/student Academic researchers often need to determine whether their quantitative data support certain conclusions. Did the experimental treatment have the predicted effect? Are these two measures correlated with each other? Does the probability of some event or outcome depend on certain factors? A researcher can answer many questions like these...
Get JMP software free for academic use at jmp.com/student JMP 18 and JMP Pro 18 are being released in Spring 2024, bringing a host of new features useful to academics, whether for teaching or research. This webinar provides an overview of new features before demonstrating several in detail, including: An improved new user experience The Columns Manager for easier data management Platform P...
Get JMP software free for academic use at jmp.com/student Health and life sciences are innovative, fast-growing industries that present many career opportunities for students with data analysis skills. JMP includes comprehensive data visualization and analysis capabilities for life sciences, all packaged in an easy-to-use, visual interface that is great for the classroom. This webinar provi...
Get JMP software free for academic use at jmp.com/student Linear mixed models — linear models with both fixed and random effects — have become widely taught in many disciplines due to their ability to handle non-independence among observations, a challenge that students are likely to encounter at some point in their careers. JMP and JMP Pro include extensive mixed modeling capabilities, with ...
Get JMP software free for academic use at jmp.com/student Analysis of time-to-event data – often called survival or reliability analysis – is commonly taught in biostatistics, reliability engineering, and other domains. JMP’s suite of survival and reliability tools support comprehensive teaching of key concepts and techniques in this domain, including survival and hazard functions, censor...
Get JMP software free for academic use at jmp.com/student JMP includes comprehensive tools for teaching categorical data analysis concepts and techniques, including categorical probability distributions, confidence intervals and hypothesis tests on proportions, contingency analyses, logistic regression, and more. This webinar provides a tutorial on how to use these tools, with plenty of teach...
Get JMP software free for academic use at jmp.com/student JMP’s interactive, no-code interface makes it an excellent choice for teaching statistics to future engineers. Its use by engineers at leading companies around the world makes it a valuable career skill, too. This JMP Academic webinar reviews the use of JMP to teach engineering statistics, from basic techniques such as regression and A...
Get JMP software free for academic use at jmp.com/student Unstructured text data is everywhere, and modern analytics and data science education is increasingly covering text mining techniques. Text Explorer in JMP and JMP Pro enables students to learn basic and advanced text mining methods through an interactive, no-code interface, making text mining approachable to a wide range of students a...
Get JMP software free for academic use at jmp.com/student Statistical inference – inferring population parameters from sample data – is a central component of statistics education. This webinar will guide you in using JMP to teach core statistical inference techniques. We demonstrate tools for generating point and interval estimates of common parameters and for conducting hypothesis tests usi...
Get JMP software free for academic use at jmp.com/student Designing research studies involves important statistical considerations regarding study structure, sample size, accounting for covariates, and more. In this webinar, we demonstrate several methods useful in research study design: determining the amount of data to collect, designing multifactor experiments, and sequential experimen...
Get JMP software free for academic use at jmp.com/student This webinar is for any academic looking to visualize their data, either for data exploration or for presentation and publication. We demonstrate how to make a variety of basic and specialized graphs in Graph Builder, with additional graphing platforms covered in the accompanying JMP Journal file. Learn how to create effective data vis...
Get JMP software free for academic use at jmp.com/student Reproducibility of statistical results is paramount in scientific research. Many researchers use code-based software in part for this very reason: code both documents and executes the exact steps needed to reproduce an analysis. Even with its point-and-click interface, JMP provides several ways to capture and re-execute JSL code for...
Get JMP software free for academic use at jmp.com/student JMP Pro 17 marked a significant change in how genomic data analysis is performed in JMP. New platforms were introduced for genetic marker analysis and breeding simulations, and several existing platforms were optimized for the handling of large, wide data sets. Unlike the specialized JMP Genomics software, these new features are built ...
Get JMP software free for academic use at jmp.com/student Multivariate statistical methods are taught across a range of disciplines, from chemistry to psychology and more. JMP makes many basic-to-advanced multivariate methods accessible to students through its interactive, no-code interface. This webinar is the second in a two-part series on teaching multivariate methods in JMP. It demonstr...
Get JMP software free for academic use at jmp.com/student Multivariate statistical methods are taught across a range of disciplines, from chemistry to psychology and more. JMP makes many basic-to-advanced multivariate methods accessible to students through its interactive, no-code interface. This webinar demonstrates tools and techniques for teaching two common multivariate techniques: mult...
Get JMP software free for academic use at jmp.com/student JMP is no-code data visualization and analysis software used across a wide range of industries and academic disciplines. If you're a student who will be using JMP in your coursework or research, this webinar will teach you everything you need to know to begin using the software. We provide an overview of JMP's interface and range of ...
Get JMP software free for academic use at jmp.com/student This webinar demonstrates the many resources and tools available in JMP to help you incorporate cluster analysis into your curriculum. We review JMP's clustering tools, which include k-means, hierarchical clustering, and more, as well as how to use these tools effectively for teaching. We also see how the interactive and graphical natu...
Get JMP software free for academic use at jmp.com/student Linear regression modeling is one of the most widely used statistical tools in academic research. Applying this foundational technique effectively requires a degree of technical knowledge regarding model construction, diagnostics, and interpretation. This webinar, which is appropriate for novice to intermediate linear modelers, will ...
Get JMP software free for academic use at jmp.com/student Many research studies involve testing for and quantifying the differences between treatments. These studies could consist of a simple A/B comparisons of a single factor all the way to exploring the impact that multiple factors including their potential interactions have on an outcome. In this webinar, a statistical scientist from JMP...
Get JMP software free for academic use at jmp.com/student Research publications and presentations call for high-quality data visualizations, often following specific formatting requirements, aesthetic preferences, or other customization needs. While most JMP users are aware of JMP's strength in exploratory graphing, fewer are aware that JMP also is capable of producing highly customized, p...
Get JMP software free for academic use at jmp.com/student Researchers are intimately familiar with the amount of work often needed to clean and prepare data so it’s ready to perform specific statistical analyses. At times, these efforts can take quite a bit more time than the analyses themselves. In this webinar, a statistical scientist from JMP demonstrates a variety of easy-to-use tools t...
Get JMP software free for academic use at jmp.com/student Researchers in numerous domains often encounter functional data, or one continuous measure that unfolds across another. Prominent examples include chemical spectra, financial series, and sensor data; think any data where the unit of analysis is not a single point, but a curve. Functional data analysis (FDA) offers techniques to analyze...
Get JMP software free for academic use at jmp.com/student Each new data set we encounter brings with it the need for initial data exploration. Before building models or running tests, we need to summarize the data numerically and graphically, screen for patterns or anomalies, and ensure that the data are suitable for further analysis. Put more generally, we need to "get to know" our data. In ...