A workshop at Northeastern University on 12/1/2015, coordinated by Alyssa Faria in the Academic Technology Services group. Information from the registration form Alyssa created is below.
Roughly 13 attended, including faculty, staff and students from Supply Chain, Chemical Engineering, Health Science, Business,Accounting, Chemistry and Finance.
Key faculty members include:
Dimitrios Fotiadis (Supply Chain) - sent books, follow-up e-mails - Dimitrios would like to set up a workshop for faculty in the business school.
Paul Chiou (Finance) - interested in JMP for time series
Not much use of JMP or SAS - there were many questions regarding what is available in JMP and SAS, differences, and what Northeastern has for a license.
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Free Campus Workshop:
Data Analysis with JMP
Tuesday, December 1, 2015 • 12:30p – 2:30p
Discovery Lab, 138A Snell Library
JMP is an easy-to-use standalone statistics and graphics software from SAS Institute. It includes comprehensive capabilities for every academic field, and it’s interactive point-and-click interface and linked analyses and graphics make it ideal for research and for use in statistics courses, from the introductory to the advanced levels. JMP runs on Windows and Macintosh operating systems and also functions as an easy, point-and-click interface to SAS®, R, MATLAB and Excel.
Come and see how to use JMP for data summary, visualization and analysis, with an emphasis on what’s new in our latest release, JMP 12. Bring your laptop with JMP installed to follow along.
Light refreshments to be served.
Agenda: Getting Started with JMP
Basic navigation and use of JMP
Data summary and interactive visualization for one, two and many variables: from descriptive statistics to geographic maps
Analysis of univariate, bivariate and multivariate data: t-tests, pairwise comparisons, ANOVA, and simple, multiple and logistic regression
Multivariate methods: PCA, clustering, discriminant and factor analysis
Predictive modeling: classification and regression trees, neural networks, penalized regression methods, and model comparison
Resources for learning and teaching with JMP: Teaching modules, permutation tests, simulators and calculators
New features in JMP 12
Other topics upon request: DOE, quality, reliability, time series, market research, categorical (survey) analysis, and mixed models, integration with R, SAS, and MATLAB
