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Introduction
As a consequence of decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases the information is not being utilized to out-think their rivals. Thus organizations are missing out on a potent competitive tool.
Competence in analytics has become a critical skill for managers of the new age business organizations. Business Analytics is about quantitative analysis and predictive modeling towards data-driven competitive strategies. This course covers methodologies and practices that are important for data analytics and discuss their relevance in various functional domains. It is designed for professionals who need a managerial introduction to this discipline.
This course will introduce participants to some of the most widely used modeling techniques and their core principles. By taking this course, participants will form a solid foundation of analytics, which refers to tools and techniques for building statistical models to make predictions based on data. This course is designed for those who are interested in using data to gain insights and make better business decisions. It would also improve managerial and leadership capabilities of participants.
Through interactive case discussions, assignments and experience sharing, the participants will be introduced to several elements of data analytics tools and execution techniques. Participants will be provided with selected reading materials before the program. All sessions will be of 90 minutes each. The program will provide an analytical view of decision making and insights into descriptive and predictive analytics with an introduction to prescriptive analytics. The program outline will follow the following schedule
