Techniques for Data Analysis

The mean aim of this course is to provide suitable tools to quantitatively describe one or more phenomena belonging to different environments (i.e. economic, social, political, administrative, historical, juridical, etc.).
This topic can be addressed by the organization of the raw data in frequency tables, the graphical representation and through the use of suitable indexes. Furthermore, when the observed data are the result of (partial) sample surveys, it is necessary to take advantage of the inference. In these cases, through the partial knowledge of the phenomenon, we can extend the results to the whole population, in term of probability.
This, during the class will be presented the elementary tools of calcolus of probability and the estimation theory.
The basic matematical elements are exential to understand and to apply these statistical tools.

At the end of this course, the students will know and will be able to understand the main mathematical and statistics techniques presented during the classes. They will know to carry out a descriptive analysis of a dataset, by highlighting the main features of the variables of interest. Furthermore, the students will be able to draw significant and reasonable conclusions in concordance with the context whom the aim of the analysis belongs (i.e. economic, social, political, administrative, historical and juridical).
Through several examples based on real data, we will show how to face analysis, how to interpret the results and how to draw conclusions coherent with the context in which the variables belong. We will judge the ability to understand and exposition of the students through an analysis similar to the ones presented during the classes. The mathematics and statistics techniques will give the fundamentals for further development and deeper analysis that the students can be faced with during their educational path.