16 Apr > 18 Apr 2012, Paris, France
Introductory statistics course with XLSTAT Software
This training goes through the data analysis methods which are most commonly used in industry today. The course is organized in a way that allows participants to study the descriptive and explanatory data analysis, modeling, and hypothesis testing methods, by understanding the objectives, the implementation and the interpretation of each method. Many examples are presented and explained to enable participants to become familiar with the practice of data analysis with XLSTAT.
Program
DAY 1: Getting started with XLSTAT and Describing data
- Introduction to XLSTAT
- Preparing and managing data: coding data
- Describing data: qualitative and quantitative data, descriptive statistics, and contingency tables.
DAY 2: Multivariate data analysis and Regression
- Analyzing multivariate data: Principal Component Analysis (PCA), Hierarchical Clustering Analysis (HCA), Correspondence Analysis, and Multiple Correspondence Analysis (MCA).
- Modeling data: simple linear regression, multiple linear regression, analysis of variance, and covariance analysis.
DAY 3: Statistical tests and tips and tricks
- Statistical hypothesis testing: parametric tests, non-parametric tests, and association tests.
- Tips and tricks to be more effective.
Additional information
Language: French
Location
Paris 75000 France
Trainers' profiles
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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.
Comments
Carol Griffin, Teagasc I 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, Tereos The 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.