The course aims to be transversal and to provide useful skills in all areas that has to do with data and the need to process and manage it. For this reason the course aims to be useful for any type of doctorate, in particular macro-area of Life Sciences, Bioengineering and Bionformatics, Economics, Political Studies, Dreamed. In practical activity, examples and data will be used in the various application areas of interest in the various Doctorates. Book here.
Data management and analysis represents one of the most important factors simultaneously
more critical in many areas of work; often we use proprietary tools and software which are often expensive or are ultimately limited in theirs application. The course aims to provide participants with the knowledge necessary and sufficient for introduce and use the language and potential of R in your work. R can be defined as a statistical analysis system and simultaneously a language and software. It is a very powerful and widely open source tool
also used for the statistical analysis of data, being a real language of programming, embodies the potential to create and develop independently various applications useful for the manipulation, management and analysis of any type of data. The its main features include simplicity in management and data manipulation, the availability of a suite of tools for vector calculations, matrices and other complex operations, access to a vast set of integrated tools and functions developed by others and made available for statistical analysis, the production of numerous particularly flexible graphic potentials, possibility of using a real e own object-oriented programming language that allows the use of structures conditional and cyclical, as well as user-created functions. By offering an elaborate introduction to programming with R, this course has the purpose to intercept the needs of the participants, focusing in particular on some fundamental aspects such as data manipulation and management, their analysis through the identification of the most appropriate statistical test and the display of data and results
using the graphic potential offered by R.
The course involves the use of numerous “datasets” and examples that may be familiar to the various areas of interest in order to facilitate the participants in understanding and application of the acquired notions.