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.
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.
- 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
The two-days course costs euro 800 + VAT.
Should I take this course?
This class will be a good fit for you if you already use R, and you want an overview on statistical models with R. Some background in theoretical statistics and probability is required.
What does the cost include?
The cost includes lunch, comprehensive course materials + 1 hour of individual online post course support for each student within 30 days from course date.
There is a students discount?
We offer an academic discount for those engaged in full time studies or research. Please contact us for further information at firstname.lastname@example.org
What should I bring?
A laptop with the latest version of R and R-Studio.
Who will I learn from?
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.
What language is the course taught?
This course is taught in italian. Course material in English language
How can I reach your place?
Legnano is about 30 min by train from Milano. Trains from Milano to Legnano are scheduled every 30 minutes, and Quantide premises are 3 walking minutes from Legnano train station.
What is the minimum number of participants for this course?
A minimum number of 3 participants is required for the course to take place. If the minimum number of participants is not reached, we will refund all registration fees for those who signed up.
How can I contact you if I have further questions?
You can contact us at email@example.com