This course intends to gently introduce data management and modern analysis techniques and concepts to students in the Natural Sciences. While we will mostly use examples in the fields of Evolutionary and Behavioural Ecology, the course can be followed by students from other scientific domains. Classical, maximum- likelihood and Bayesian approaches will be introduced. The course will not be heavy on mathematics and statistical theory, trying instead to explain the concepts behind modern statistical tools mostly in a graphical and engaging way using interesting ecological examples. The teaching philosophy will be problem-solving oriented, and therefore students will have the chance to practically apply all the acquired concepts and methods to real data using the open-source statistical language "R” and the friendly "RStudio” interface. An introductory "R-Lab” will provide the necessary know-how in the use of these powerful tools. Specifically developed tutorials and interactive exercises will assist the student during the whole learning process.