Handbook

This practical course uses experiential activities, case studies and guest lectures to teach students how to acquire and use data to drive better, evidence-based decision-making in their work. It is essential that professionals can define problems clearly and systematically, know what techniques can be applied in order to solve these problems, and communicate the results concisely and effectively. This course helps students to frame business problems in a quantitative matter and learn how data collection and experimentation can help provide management insights. As the second step, students will learn how to solve problems through predictive models. This requires a basic understanding of statistics and therefore students will study the basics of regression provided by the Harvard Quantitative Methods online course during the first five weeks. This will help improve students’ data literacy in order to communicate more effectively with data scientists, as well as contribute to the democratisation of data within their business. Finally, students will learn the basics of using Tableau, one of the leading Data Analytics and Visualisation tools in the field. Through data storytelling, students will learn to communicate data more effectively and improve their ability to simplify problems and facilitate decision-making.