It is fundamental and essential in today's digital and global economy to have a deep understanding of data for better decision making. Raw data is everywhere and most business organizations are creating and owning different primary and secondary data sources but how can managers effectively exploit information from these sources? How can managers transform raw data into valuable insights to support or predict the expected outcome of a policy decision?
This module, designed in an application-oriented manner, provides tools and methods to help students answer the above two questions. Students will have access to modern data analysis techniques alongside practical activities to ensure that students can immediately apply the knowledge and tools imparted. Specifically, students will explore the following topics:
- Data exploratory analysis;
- Models for data-driven decision making;
- Economic and Revenue forecasting.