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The goal of the course is to help participants think about investigations and the problems involved in designing them. In addition, the course helps learn skills for handling, and visualizing, data. Furthermore, the course will help you to understand basic statistical concepts that will help you deal with uncertainty, and learn to build models that can provide real insight into the questions at hand. Real data sets will be used for illustration. The question "Where does data come from?" is used to explore how experiments and investigations, from a wide variety of contexts, can be designed. Some recent studies and some famous historical datasets are used.
Introduction to R
The data processing program R is introduced for use and reinforcement during the course, such as for gaining insight into data through visualization. The basic concepts of dealing with uncertainty are then discussed, through the question, "How do we turn data into evidence?" The rest of the course introduces a variety of statistical models suitable for different types and structures of data. The concepts behind these models, the thinking behind building them, and the interpretation of the results are discussed, with an emphasis on conceptual and practical understanding.
