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Data analytics software such as the open-source programming environment R are becoming more popular. During this course, you will be introduced to three crucial aspects of data analytics in R through lectures and interactive, assignment-based tutorials: (i) basic objects and operations in R; (ii) control flow and programming in R; and (iii) working with data in R (management, analysis, and visualisation).
This course provides an overview of the crescent field of consumer neuroscience and explores the applications of neurosciences in different fields, such as neuroeconomics and neuromarketing. At the end of the course, you will be able to properly understand the potential and limitations of these applications, and develop innovative ways of using neuroscientific techniques in different contexts.