Course
ENV-521: Multivariate statistics with R in environment
Summary
Introduction to multivariate data analysis and modelling. The course helps for a critical choice of methods and their integration in a research planning. It prepares for complexe data analysis in various fields of environemental sciences. Use of dedicated R libraries
Official source
Moodle Page
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Instructor
Alexandre Buttler
I am a honorary professor at Ecole Polytechnique Fédérale, Lausanne - EPFL. Up to 2019, I was a joint-professor between EPFL (Head of the laboratory of Ecological Systems - ECOS) and the Swiss Federal Research Institute WSL for Forest, Snow and Landscape (Head of the research group Pasture Woodlands and Wetlands) and head of the Site WSL-Lausanne. I was also professor at the laboratory of Chrono-Environnement (UMR CNRS 6249) of the University of Franche-Comté, Besançon (France). I am author or co-author of over 160 papers in international ISI cited peer-reviewed journals.
Related courses (228)
CS-401: Applied data analysis
This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the dat
PHYS-467: Machine learning for physicists
Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
DH-406: Machine learning for DH
This course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple
MATH-131: Probability and statistics
Le cours présente les notions de base de la théorie des probabilités et de l'inférence statistique. L'accent est mis sur les concepts principaux ainsi que les méthodes les plus utilisées.
BIO-449: Understanding statistics and experimental design
This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental d
Related MOOCs (24)
Introduction to Discrete Choice Models
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Introduction to Discrete Choice Models
The course introduces the theoretical foundations to choice modeling and describes the steps of operational modeling.
Selected Topics on Discrete Choice
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction t