The course introduces the students to methods and principles in biological data collection, organization, analysis and representation of the results.
Following an introductory section on basic principles on scientific designs and samplings, the students will learn how to create and organize a set of data.
Later, students will become familiar with central tendency and variability measures both from a theoretical and applied standpoint. Through case studies, provided by the instructor or suggested by the students, students will have opportunities to test their skills through class exercises to improve their data handling, analysis and representation. In the following phase of the course, students will be taught the foundations of inferential statistics and the main parametrical and non-parametrical tests to compare 2 or more samples (both paired and independent) as well as comparing frequencies and assessing associations between data series (correlation and regression).