Data Analysis for Agriculture

To provide the methodological and practical basis for a rigorous management of quantitative data in agriculture, the design of sample surveys, field surveys and experimental tests in agriculture.
Develop advanced skills in the use of spreadsheets and dedicated software for the collection and statistical analysis of the increasingly significant mass of management and biological data in agriculture.
Provide a solid theoretical and practical foundation for the reading, analysis, interpretation and presentation of data from industry databases, sample surveys, field measurements and experimental test results.

Ability to manage data from national and international databases of the sector, and / or from sampling surveys in agriculture.
Ability to carry out graphic and quantitative descriptive analyzes, to analyze trends, variation factors and confounding factors through the use of appropriate graphic and statistical techniques with spreadsheets and statistical processing software.
Ability to present, read and interpret data from both the field and the laboratory.