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...
JMP Student Edition is a full-featured version of JMP statistical software available to faculty, students, and academic researchers at no-cost. If you are looking for statistical software to use in your course, or if you plan to teach with JMP Student Edition and need an overview of the software, then this webinar is for you. Topics include: Why teach with JMP Student Edition?How to access JMP ...
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 Building off of intro statistics, regression and ANOVA courses help students master broadly applicable linear modeling skills. This webinar reviews tools and resources for teaching regression and ANOVA with the JMP Student Edition, with topics including: An overview of Fit Model, JMP’s general-purpose linear modeling platform Factori...
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 Design of experiments (DOE) is used extensively in industry to understand cause and effect in complex systems, making DOE a critical skill for the modern science or engineering student. JMP's world-class suite of DOE tools is used extensively in industry, and JMP's visual, no-code interface makes its DOE tools great for teaching, too. ...
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 ...