The goal of the Analytics elective is to introduce MIB students to foundational analytics concepts and techniques used in practice, as well as the issues relevant to analytics in a global business context. Leveraging analytics process frameworks such as CRISP-DM, students will learn how to translate a business problem into a data and analytics problem, acquire and understand the data, pre-process that data, and then train, test, and evaluate models to address the business problem and make data-driven decisions. Relevant laws and regulations that vary across countries, such as anti-discrimination laws and data privacy regulations, will also be discussed.
The goal of the Analytics elective is to introduce MIB students to foundational analytics concepts and techniques used in practice, as well as the issues relevant to analytics in a global business context. Leveraging analytics process frameworks such as CRISP-DM, students will learn how to translate a business problem into a data and analytics problem, acquire and understand the data, pre-process that data, and then train, test, and evaluate models to address the business problem and make data-driven decisions. Relevant laws and regulations that vary across countries, such as anti-discrimination laws and data privacy regulations, will also be discussed.
