Statistical Models with R

 

In this two-day course you will learn how to develop a wide variety of basic and advanced statistical models with R. The course will follow a step-by-step approach from simple linear modelling to more complex generalized linear model including advanced extensions. Plenty of examples will lead you to a practical understanding of applied statistical modelling with R.

Audience

Anyone who is already using R and wants to get an overview of statistical models with R. Some background in theoretical statistics and probability is required.

 

Attendees

6 attendees max.

 

Course organization

The first part of the course is focused on Linear Models: starting from t tests and Anova, we cover a wide variety of Regression Models, as Simple and Multiple Linear Regression and Polynomial Regression, included special cases, as models where intercept or slope vary according to a categorical variable.

The second part of the course covers the extension to Generalized Linear Models, as modeling binary variables with logistic models, counting variables with Poisson models and modeling with Gamma variables. Depending on attendees expertise and available time, a last section where extra modeling expansions, as Tree models, quasi-Poisson variables, Negative Binomial variables and other modeling extensions might be briefly shown.

 

Outline

  • t-test
  • ANOVA
  • Linear, Polynomial and Multiple Regression
  • More Complex Linear Models
  • Introduction to GLM
  • Logistic Regression
  • Poisson Dep. Var. Regression
  • Gamma Dep. Var. Regression
  • Check of models assumptions
  • Brief outlines of GAM, Mixed Models, Neural Networks, Tree-based Modelling

 

Cost

The cost of a 2 day course is 800 + VAT per person, which includes lunch, comprehensive course materials plus 1 hour of individual online post course support for each student within 30 days from course date.

Discounts

We offer an academic discount for those engaged in full time studies or research. Please contact us for further information.

Date

Next session will be in Spring, the dates will be available soon, for any further information you can contact us here.

Location

Quantide premises
Corso Italia, 85
20025 Legnano, MI
Italy

Teacher

Enrico Pegoraro
Enrico Pegoraro works in R training and consulting activities, with a special focus on Six Sigma, industrial statistical analysis and corporate training courses. Enrico graduated in Statistics from the University of Padua.
He has taught statistical models and R for hundreds of hours during specialized and applied courses, in universities, masters and companies.