Islamabad: The Department of Management Sciences at SZABIST University Islamabad continues to promote experiential learning by integrating practical data analytics and predictive modeling into management education.

As part of the Business Analysis and Forecasting course, MBA and EMBA students participated in a hands-on learning session titled “Applied Time Series Predictive Modeling: Hands-on Python for Forecasting – Prophet & AutoTS.”

The session introduced students to modern forecasting techniques using Python, with a particular focus on Prophet and AutoTS. Key topics included automated time series modeling, additive decomposition, and ensemble forecasting strategies.

Through a practical, code-first approach, students explored how predictive analytics can transform historical data into meaningful forecasts. The session also highlighted how forecasting tools can support informed, data-driven business decisions.

By connecting analytical concepts with practical Python applications, the learning experience aimed to equip future business leaders with relevant technical and analytical skills for an increasingly data-driven business environment.

The workshop was organized and conducted by Dr. Asma Arshad, Faculty Member, Department of Management Sciences, SZABIST University Islamabad.