University of Oxford: JMP Academic Workshop
Who should participate? Anybody who wants to learn from data and visually communicate findings, and anybody who wants to teach with data in the most engaging and intuitive way.
Basic knowledge of data analytics and/or JMP is not required.
JMP is an easy-to-use, standalone statistics and graphics software from SAS Institute. It includes comprehensive capabilities for every academic field, and its 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.

AGENDA: – Navigating JMP – Basic platforms for summarizing and graphing data, analysis and modeling – Additional topics of interest: E.g. multivariate analysis, advanced modeling (mixed models, generalized regression), text analytics, data import and sharing results – Help, tips and tricks – Overview about academic resources for learning and teaching with JMP – Discussion, Q&A

Format: JMP guided tour demo and discussion – no slide show!
NOTE: Bring your laptop (Windows or Mac) to follow our demos, we will share JMP Pro installers.
Date: 8 May 2017, 13:00 (Monday, 3rd week, Trinity 2017)
Venue: Dyson Perrins Building, off South Parks Road OX1 3QY
Venue Details: Herbertson Room
Speaker: Volker Kraft (Ph.D., JMP Sr Academic Ambassador)
Organiser contact email address: emily.read@eci.ox.ac.uk
Host: Dr. Imma Oliveras (Departmental Research Lecturer in Ecosystems Science and Deputy Programme Leader on Ecosystems)
Booking required?: Required
Booking url: https://goo.gl/forms/20SIspqbmq2br2NX2
Audience: Public
Editor: Alice Chautard