Seminar

Seminar Overview

The primary objective of my seminars is to equip students with the Business Analytics skills that are crucial for tackling challenges confronted by organizations. Business Analytics is a discipline that employs quantitative methods to pinpoint the best actions for strategic, tactical, or operational decisions made within organizations. We broadly categorize analytics into four types: descriptive, predictive, prescriptive, and autonomous:

Descriptive Analytics, also known as Business Intelligence, focuses on understanding and interpreting data.
Predictive Analytics leverages data to anticipate future events or trends, often using data science approaches to extract valuable insights from data. Data science typically involves data mining techniques empowered by machine learning algorithms.
Prescriptive Analytics employs optimization techniques and simulation to identify the most effective actions.
Autonomous Analytics applies Artificial Intelligence (AI) to generate and refine models, typically by leveraging machine learning algorithms.

I cover the fundamentals of these analytics approaches in the Management Science course and focus primarily on data science topics in the seminars I lead. For analysis and problem-solving tasks, students utilize innovative development environments such as JupyterLab or AI tools such as the Advanced Data Analysis plugin in ChatGPT. Students also utilize Python 3 to analyze real-world datasets and solve the prescriptive models developed within these platforms.

Building upon the material introduced in the Principles of Business course, the seminars I lead run concurrently with the content covered in the Management Science and Operations Management courses. This synergistic approach ensures a comprehensive understanding of the key concepts.