To have a general view of the main concepts of descriptive and inferential statistics, and in particular:
a) Knowledge and understanding. The course provides skills on basic statistical techniques. These techniques include: preliminary data analysis and graphical representations, descriptive statistical indices; confidence intervals and hypothesis testing on the mean and proportion, with the calculation of the corresponding p-values; the simple linear regression model. Carrying out a series of practical analysis taken from economical datasets gives the student the ability to solve simple statistical problems that require the aplication of quantitative tools.
b) Knowledge and understanding of statistical methodology. At the end of the course, the student will be able to independently apply the basic statistical techniques indicated above to business problems. The student will therefore have developed basic analytical skills through the use of statistical methodologies.
c) Autonomy of judgment and critical thinking. At the end of the course, the student will be able to create quantitative reports of company information, and to independently carry out simple market analyses using sample information (such as, for example, an estimate of a brand's market share). Furthermore, the student will be able to correctly interpret the results of these analyses, even when performed by others. By studying the contents of the course, the student therefore acquires a good operational ability on basic quantitative techniques and is able to independently obtain simple business information from company data.
d) Communication skills. At the end of the course, the student will be able to interact with all company components, providing quantitative reports of company information and correctly interpreting the results of simple sample analyses.
e) Learning skills. During the course the student will learn the basic statistical techniques. The skills taught in the course include some basic methodological aspects, essential for understanding the techniques and interpreting the results, and a wide use of the learning by doing approach.