This course is an introduction to data analysis. It is better to have a minimal knowledge of R. If not, an introductory tutorial is available on the course’s web page and the basics of R will be recalled during practice. For people who have never used R, it may be useful to have basic programming skills, regardless of the language. The course is for people who want to learn or re-learn how to use the statistics wisely for their own projects. The objective is to present and explain the main concepts of statistics useful for describing a dataset, exploring its properties in order to draw robust conclusions, making good use of the most common methods (hypothesis tests, PCA , …) and knowing how to read, interpret (and possibly approach critically) the results presented in the publications. We will use mathematical formalism as little as possible, but insist on the properties of the methods, their prerequisites, the interpretation of the results. We will discuss the notions of exploratory analysis, Principal Component Analysis (PCA), clustering, estimation, sampling, regression, hypothesis testing, experimental design.
Lectures will take place every tuesday morning from 9 to noon.
Date de Début
08
Mar 2016
Date de Fin
12
Apr 2016
Heure
09:00:00
28 Rue du Docteur Roux, Paris, France
Adresse
Bâtiment: Lwoff
Localisation
2016-03-08 09:00:00
2016-04-12 12:00:00
Europe/Paris
Morning session – Data analysis using R
This course is an introduction to data analysis. It is better to have a minimal knowledge of R. If not, an introductory tutorial is available on the course’s web page and the basics of […]
28 Rue du Docteur Roux, Paris, France
Marie-Agnès Dillies
marie-agnes.dillies@pasteur.fr
Localisation
Localisation: 28 Rue du Docteur Roux, Paris, France