Making Effective Decisions: Teaching Statistics to Students of Business presentation slides
#TSSBConf presentation files are online
XLSTAT organized the Making Effective Decision: Teaching Statistics to Students of Business in Bordeaux, France, on June 8-9, 2017, with the support of the SFdS association, the Data, Analytics and Statistics Instructions group from DSI, EDSI, and the Association Française de Marketing.
The conference gathered Professors and consultants with extensive experience in teaching, as well as experts in neurosciences, and representatives from various analytics and statistical software.
Most presentation slides are now available below:
Richard Dick De Veaux, Williams College - Opening Session: Statistics for Decision Making in the twenty-first century
Galina Andreeva, University of Edinburgh Business School - Using real data in teaching statistics: a case study of the coursework for Masters students
Robert Andrews, Virginia Commonwealth University - Lessons learned from and about Teaching Statistics in a Business School
Wilma Andrews, Virginia Commonwealth University - Enhancing the Value of Analysis through Effective Communication
Wilma Andrews, Virginia Commonwealth University - Presentation Resources Handout
Tatiana Bouzdine-Chameeva & Philippe Reynet, KEDGE Business School - Rethinking a core curriculum in statistics for business students
Guillaume Chevillon & Vincenzo Esposito Vinzi, ESSEC Business School - How Analytics modifies teaching statistics in Business schools: the ESSEC case
Leon Cygman, Mount Royal University - Teaching learner-centered statistics: a case for blended delivery using Google Apps
Rickard Enstroem, MacEwan University - Using group projects to engage business students in learning statistics and making it a meaningful experience
Theodoros Evgeniou, INSEAD - Statistics and analytics for MBA - the INSEAD experience
Thierry Fahmy, Addinsoft - Empowering the future business analyst with tailor-made solutions
Anne Hasted, Qi Statistics - Experiences and approaches to teaching statistics to consumer scientists
Emmanuel Jakobowicz, Stat4Decision - Teaching advanced analytics in business: the example of Structural Equation Modeling
Samah Karaki & Marc Turiault, the Social Brain Institute - How Educational Neurosciences can help teaching statistics
Renaud Lunardo, KEDGE Business School - On the benefits of using the Process Macro to test statistical models in data analysis classes
Mélanie Motts, Weenove - Data Visualization, an attractive tool to support statistical teaching in Business Schools
Bertram Schaefer, StatCon - Teaching Statistics using Activity Elements
Michelle Sisto, EDHEC Global MBA - Be a Whiz in Biz and Viz: Bringing visualization to the EDHEC MBA
Richard Dick De Veaux, Williams College - Conference Wrap-Up Random Thoughts
This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.
This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.
This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST