**Statistics for Data Science** is our second course of the autumn term. It takes place in **October 11-12** in **Milano Lima**.

In this two-day course you will learn how to develop a wide variety of linear and generalized linear models with R. The course follows a step-by-step approach: starting from the simplest linear regression we will add complexity to the model up to the most sophisticated GLM, looking at the statistical theory along with its R implementation. Supported by plenty of examples, the course will give you a wide overview of the R capabilities to model and to make predictions.

**Statistics for Data Science Outlines**

- t-test, ANOVA
- Linear, Polynomial and Multiple Regression
- More Complex Linear Models
- Generalized Linear Models
- 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

**Statistics for Data Science** is organized by the R training and consulting company *Quantide *and is taught in **Italian**, while all the course materials are in **English**.

The course is for max 6 attendees.

**Location**

The course location is 550 mt. (7 minutes on walk) from Milano central station and just 77 mt. (1 minute on walk) from Lima subway station.

**Registration**

If you want to reserve a seat go to: FAQ, detailed program and tickets.

**Other R courses | Autumn term**

You can find an overview of all our courses here. Next dates will be:

*October 25-26*:**Machine Learning with R**. Find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction. Reserve now!*November 7-8*:**Data Visualization and Dashboard with R**. Show the story behind your data: create beautiful effective visualizations and interactive Shiny dashboards. Reserve now!*November 21-22*:**R with Database and Big Data**. From databases to distributed infrastructure, master the R techniques to handle and query Big Data. Reserve now!*November 29-30*:**Professional R Programming**. Organise, document and test your code: write efficient functions, improve the code reproducibility and build R packages. Reserve now!

In case you are a group of people interested in more than one class, write us at training[at]quantide[dot]com! We can arrange together a tailor-made course, picking all the topics that are interesting for your organization and dropping the rest.

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