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Statistics Webinar Recordings

Latest webinars on Sensory and Medical data analysis:

WEBINAR: Sensory data analysis - Part 1 - Evaluating differences between products

WEBINAR: Sensory data analysis - Part 2 - Relating preference to sensations

WEBINAR: Medical data analysis - Part 1 - Introduction and basic tests

WEBINAR: Medical data analysis - Part 2 - Multivariate approach and Survival analysis

Table of contents of available webinars to Learn Data Science with XLSTAT:

WEBINAR #1: Describing Data - Learn Data Science with XLSTAT

WEBINAR #2: Exploring and clustering data - Learn Data Science with XLSTAT

WEBINAR #3: Statistical testing - Learn Data Science with XLSTAT

WEBINAR #4: Statistical modeling - Learn Data Science with XLSTAT

WEBINAR #5: Analysis of Variance - ANOVA - Learn Data Science with XLSTAT

WEBINAR #6: Supervised Machine Learning and Prediction - Learn Data Science with XLSTAT

WEBINAR #7: Deploying an R procedure in Excel using XLSTAT-R

This article lists the most recent XLSTAT elearning Statistics webinar recordings along with the data and the presentations files.
The data used are the same for all sessions.


WEBINAR #1 : Describing Data - Learn Data Science with XLSTAT

Describing Data - 1 hour

Descriptive statistics allow to summarize information contained in datasets using simple numbers such as the mean or the standard deviation; and charts such as box plots and scatter plots.

  • Variables, individuals...

  • Describing one qualitative variable: frequencies, mode, pie charts...

  • Describing one quantitative variable: mean, standard deviation, box plot...

  • Describing the link between two qualitative variables: cross tabulation.

  • Describing the link between one quantitative variable & one qualitative variable

  • Describing the link between two quantitative variables: scatter plot

Produced by: Addinsoft Directed by: Jean-Paul Maalouf PRESENTATION MATERIAL



WEBINAR #2 : Exploring and clustering data - Learn Data Science with XLSTAT

Exploring and clustering data - 1 hour

Exploratory statistics allow to summarize information contained in datasets of various volumes using dimension-reduction and segmentation features.

  • Reminder: Variables, Individuals, Descriptive Statistics

  • Exploring & Clustering data

  • Exploring data: Principal Component Analysis (PCA)

  • Clustering data: Agglomerative Hierarchical Clustering (AHC)

Produced by: Addinsoft Directed by: Jean-Paul Maalouf PRESENTATION MATERIAL


WEBINAR #3 : Statistical testing - Learn Data Science with XLSTAT

Statistical testing - 1 hour

Statistical tests allow to take decisions on rejecting or not predefined hypotheses.

  • Data description & exploration: reminder

  • Statistical tests: principles, steps, comparing two means

  • Parametric vs non parametric tests

  • Statistical tests: Comparison vs Association

  • Testing the association between 2 qualitative variables

  • Testing the association between 2 quantitative variables

  • Appendices: interpreting p > alpha; independant vs paired samples

Produced by: Addinsoft Directed by: Jean-Paul Maalouf PRESENTATION MATERIAL


WEBINAR #4 : Statistical modeling - Learn Data Science with XLSTAT

Statistical modeling - 1 hour

Statistical modeling allows to investigate how variables change according to other variables, and to make predictions.

  • Reminder: Statistical Testing

  • Statistical modeling: an intuitive introduction

  • Simple Linear Regression

  • Assumptions about residuals

  • Multiple Linear regression

Produced by: Addinsoft Directed by: Jean-Paul Maalouf PRESENTATION MATERIAL


WEBINAR #5 : Analysis of Variance - ANOVA - Learn Data Science with XLSTAT

Analysis of Variance - ANOVA - 1 hour

ANOVA is a popular statistical modeling feature. It is used to explain dependent quantitative variables using one or several qualitative explanatory variables called factors.

  • Reminder: Statistical Testing and Statistical Modeling

  • What is Analysis of Variance or ANOVA?

  • Assumptions about residuals

  • Multiple Pairwise comparisons

  • The Kruskal-Wallis test: a non-parametric equivalent for the 1-way ANOVA

  • 2-way ANOVA & interaction effect

Produced by: Addinsoft Directed by: Jean-Paul Maalouf PRESENTATION MATERIAL


WEBINAR #6 : Supervised Machine Learning and Prediction - Learn Data Science with XLSTAT

Supervised Machine Learning and Prediction - 1 hour

This webinar will introduce you to the Supervised Machine Learning which is used to optimize predictive algorithms. Applications in Excel using the XLSTAT statistical software.

  • Reminder: Statistical Modeling

  • What is Machine Learning?

  • The process of Supervised Machine Learning

  • Cross Validation of a linear regression model

  • Regression Trees

  • Random Forests: introduction & regression example

  • Appendix: Random Forests - building a tree

Produit par : Addinsoft Présenté par : Jean-Paul Maalouf PRESENTATION MATERIAL


WEBINAR #7: Deploying an R procedure in Excel using XLSTAT-R

Deploying an R procedure in Excel using XLSTAT-R - 1 hour - English.

XLSTAT-R is a revolutionary interface designed to use and write R procedures within XLSTAT dialog boxes in Microsoft Excel®. It has two principal audiences:

  • Coders able to write XML and R code to generate XLSTAT dialog boxes calling the R engine from Excel;

  • Statisticians who take advantage of the XLSTAT-R dialog boxes to call R procedures from Excel without needing to code.

Produit par : Addinsoft Présenté par : Jean-Paul Maalouf Presentation PDF (1 February 2018) XML source code (1 February 2018)

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