Training with XLSTAT
Addinsoft organizes training sessions that allow you to refresh your knowledge in statistics and data analysis while enabling you to master XLSTAT. We provide course material that gives you an overview of, and detailed information on, each studied method. In addition, our courses are based around real life case studies so that participants have a hands-on approach to data and the XLSTAT software. We provide both general public courses and on-site tailored courses.
Public courses
Addinsoft offers training sessions, either on data analysis and statistics in general or on specific topics. Public courses have been carried out for years and are always appreciated by their participants. Here is a list of our courses:
Tailored courses
Addinsoft conducts on-site trainings during which people from your company discover the use of statistical techniques and new ways to solve their data analysis problems. They also learn how to get more out of the XLSTAT software. Addinsoft has successfully organized training sessions for consulting firms and industry groups. Do not hesitate to contact us if you need a training session tailored to your needs by filling out the form below.
Trainers' profiles
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Wynne Chin
Wynne W. CHIN is Professor in the department of Decision and Information Sciences in the C.T. Bauer College of Business at the University of Houston. He received his A.B. in Biophysics from U.C. Berkeley, MS in Biomedical/Chemical Engineering from Northwestern University, and an MBA and Ph.D. in Computers and Information Systems from the University of Michigan. Wynne has also taught previously at the University of Calgary, Wayne State University, and the University of Michigan and has been a visiting fellow at the University of Canterbury, Queens University, City University of Hong Kong, and the University of New South Wales. Wynne's research includes sales force automation, IT adoption, outsourcing, acceptance, satisfaction, group cohesion and negotiation, and psychometric modeling issues. Wynne is on the editorial board of Structural Equation Modeling journal, Journal of AIS, Journal of Information Technology, IEEE Transaction of Management. He is also the developer of PLS-Graph, the first graphical based software dating back to 1990 to perform Partial Least Squares analysis.
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Vincenzo Esposito Vinzi
Vincenzo ESPOSITO VINZI has a Ph.D. in Computational Statistics and is now Full Professor of Statistics at ESSEC Business School of Paris. Vincenzo is also the President-Elect of the International Society for Business and Industrial Statistics and the Chairman-Elect of the European Board of Directors of the International Association for Statistical Computing. His research includes among others multivariate statistics, structural equation modelling, PLS regression and path modelling, with business oriented applications. Vincenzo has delivered many invited lectures and organized sessions on PLS and related methods during international events. He has also been chairing International conferences and co-editing several conference proceedings and special issues of international journals on PLS methods. Vincenzo is an Associate Editor of Computational Statistics and Data Analysis, Advances in Data Analysis and Classification, Statistical Methods and Applications and Computational Statistics. He is the Editor-in-Chief of the "Handbook of Partial Least Squares: Concepts, Methods and Applications" published in 2010.
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Anne Hasted
Anne is senior consultant at Qi Statistics Ltd, a UK based consultancy offering a full portfolio of statistical support through training, data analysis, project consultancy and software development. She is a chartered statistician with over 25 years of consultancy experience in a wide range of companies. She has run training workshops worldwide and is recognised for providing “user friendly” training.
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Gemma Hodgson
Gemma Hodgson is a statistical consultant at Qi Statistics Ltd, a UK based consultancy offering a full portfolio of statistical support through training, data analysis, project consultancy and software development. She is a chartered statistician with over 15 years of experience in a wide range of roles both with big and small companies. She has run many training workshops with a focus on taking the perceived mystery out of statistics, equipping participants to answer their business questions in a more efficient way.
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Guy Mélard
Guy Mélard is Professor at the Université libre de Bruxelles in Belgium and is partner at ‘Innovative Training & Software Expertise’, a company based in Brussels. He is an experienced Statistician specialised in computer statistics and in forecasting and time series analysis. He is the author of various scientific articles in these areas and of several books, among others, ‘Méthodes de prévision à court terme’ which 2nd release has been published in 2007. He teaches time series in a business management program dedicated to master graduates. He participated in many seminars and courses all over the world in both French and English.
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Emmanuel Périnel
Emmanuel Périnel is an independent consultant in data analysis and statistics. He received a Ph.D. from the University Paris IX-Dauphine in applied statistics and a DEA in applied mathematics to economics. Emmanuel was also a lecturer at several institutions including the University of Paris Dauphine, the Agrocampus of Rennes, and contracted lecturer at the University of Strasbourg and the University of Haute Alsace, Colmar. His research focuses on discrimination trees and sensory analysis. He has worked as a consultant for many industrials, such as Channel, Firmenich, Société Générale, and EDF.
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Michel Tenenhaus
Michel Tenenhaus has been Professor of Statistics at HEC Paris from 1973 to 2009. His main researches are concerned with multivariate data analysis: optimal scaling methods for categorical variables, PLS regression and PLS path modelling. He has published many papers in scientific journals and three books: Méthodes Statistiques en Gestion (Dunod, 1994), La régression PLS : théorie et applications (Technip, 1998) and Statistique : Méthodes pour décrire, expliquer et prévoir (Dunod, 2007). Michel Tenenhaus is also consultant for industrial companies. He has been chairman of PLS’99 at Jouy-en-Josas and PLS’09 in Beijing, and co-chairman of the following symposia PLS’01 at Anacapri, PLS’03 at Lisbon, and PLS’05 at Barcelona.
Comments
Marion Berger-Deruelle, Sanofi-AventisIn a whole, I enjoyed very much the PLSPM training, it was very fruitful. There was a good interaction between the teachers and some of the attendees, this interaction was useful to me to understand some parts of the course. I liked hearing the teachers discussing together when they had different views between each other -even though I could not follow all the subtleties, as they were discussing at an "expert" level ! Also I appreciated the linking (sequence) "presentation of theory and formulas" - "put into practice using real cases". This really helped me a lot.
Claude Wolf, UMPCI registered to the PLSPM course as using PLS was required for my current studies using multivariate analysis. I liked this training very much and especially the fact that it talked about practical use and proposed hands on exercises. I was very satisfied by the trainers who were both pedagogic and competent. I would definitely recommend that workshop especially to people who like me work in the medical/biomedical sector.
Stuart Drucker, Drucker Anaytics, Inc.I decided to attend the PLSPM course to obtain more in-depth exposure to best practice model assessment techniques, and learn about future software developments. In particular, I liked the hands-on software examples and the fact that we were able to meet the academic thought leaders. I also obtained a more comprehensive perspective for using measurement model diagnostics to support applications of Mode PLS as an alternative to the established reflective and formative approaches. I would recommend this training to other marketing science practitioners.
Carol Griffin, TeagascI really liked the 3 day training course on statistics. I gained a very good understanding of the techniques which will be of use to me in my sensory analysis work. I see the course as an introduction - I have enough to "get started". I would recommend this course to a wide range of scientific practitioners. The course leader was capable of handling a wide variety of questions from users of different levels.
Aurélie Huger, TereosThe training session on statistics is excellent, clear, interesting and educational. I registered most of all to review the basics of statistics as I needed to analyze data at work. I was very satisfied with the training that gave me a good refresher and made me want to continue learning. This training is accessible to almost all levels, I highly recommend it.