The amount of data available reached incalculable dimensions with the advancement of the information systems, so it is vital their treatment and analysis to support companies strategic decisions.

This program aims to provide analytics professionals a deeper view and understanding of the concepts and methodologies used in scientific research over large datasets that can be applied and implemented in industry contexts, with direct impact on firms’ performance.

The Business Analytics: Data Science and Big Data program combines theoretical lectures with hands-on sessions. The program is designed to walk participants along the typical phases of a data analytics project, starting with business understanding, followed by data collection and interpreting descriptive statistics, then moving into simple and advanced predictive modeling, to conclude with the design of randomized experiments to try to establish causal effects.

Main Benefits

• Provides state-of-the-art understanding of the most recent theories behind advanced data analytics, including prediction and causal inference;
• Understanding the shortcomings of simple statistical analysis and provides appropriate tools to overcome them;
• Looks at how one can correctly measure and/or anticipate the effect of changes that firms might consider introducing in its business (e.g. increasing internet speed to consumers, introducing time shifted television, valuing proactive churn management);
• How to assess the true value of assets and levers that the company might have at its disposal to reshape and improve its business strategy (e. g. product/service pricing).