Free short Webinar: Introduction to exploratory statistics, Mar. 15, 2017
This is an elearning free session that lasts one hour. No need to step out of your office to attend!
The class includes a presentation as well as a 10-minute long Q&A session.
Introduction to exploratory statistics - 1 hour
Data analysis tools can be grouped into several categories, each category aiming at answering a certain type of questions associated to a certain type of data. Exploratory statistics allow to summarize information contained in datasets of various volumes using dimension-reduction and segmentation features. This Webinar presents popular exploratory statistical features with applications using the XLSTAT statistical software.
Basic knowledge in descriptive statistics (mean, median, scatter plots...)
- A few definitions: exploratory statistics, data mining, variable, individual
- Reminder: describing two quantitative variables using a scatter plot
- Expanding description on multivariate data: exploration and segmentation
- Reducing dimensions with Principal Component Analysis (PCA)
- Data segmentation with Agglomerative Hierarchical Clustering (AHC)
Senior statistics consultant
Jean-Paul Maalouf is a senior statistics consultant working at Addinsoft since 2014. He holds a PhD in biology and has a substantial experience in teaching statistics, an activity he has been intensively practicing since 2012. His training beneficiaries include major French research institutes (INRA, CNRS, INSERM, CIRAD, several universities) as well as private companies around the world. His teaching methods rely on explaining statistical tools conceptually rather than mathematically. Statistics become very easy to understand for the users who do not necessarily have experience in mathematics and need to become operational very quickly.