The School of Commerce, Finance & Accountancy is organizing a one-day virtual workshop on Time Series Analysis & Forecasting Using Python. This workshop is designed to provide participants with a practical and conceptual understanding of time series data, its characteristics, and commonly used forecasting techniques. Participants will gain hands-on exposure to Python-based tools for analyzing trends, seasonality, and patterns in real-world data, along with an introduction to basic forecasting models. The session is suitable for students and faculty interested in data analytics, finance, and economics, and aims to strengthen analytical skills relevant to academic research and industry applications.