Programming For Business Analytics

AY2019/2020 Semester 1

This course adopts a blended learning approach where asynchronous e-learning and synchronous teaching in seminar setting are combined to achieve learning objectives. Weekly seminar provides the channel to exchange understanding and best coding practice. You will learn through a wide range of learning materials, such as online references, textbooks, videos, pre-readings, in-class activities, coding discussion and paired work. This course first provides an overview of the development environment of Python and R programming language. You will then move on to pick up language semantics like coding syntax, variables, methods, functions, mathematical operators, Boolean operators, decisions, compound decision, control structures and iterations. These help you to build a holistic understanding of programming basics and the ability to write code independently. The course will also cover foundation of business analytics including how to define problem statement in business context, data preparation, data transformation, data consolidation, data analysis, and data visualization.