Masters in Data Analytics & DI - Module - 1 Data Science Fundamentals for Finance

This module introduces students to the foundational concepts, tools, and practical applications of data science within financial and business environments. Designed for learners with little or no technical background, the module provides a structured transition into data-driven analysis, financial intelligence, and evidence-based decision-making. Students develop an understanding of how organizations collect, process, analyze, and interpret financial data to support strategic planning, forecasting, risk management, and performance optimization. The module combines statistical reasoning, financial analytics, and introductory data science methodologies with practical hands-on activities using Microsoft Excel and Python-based analytical workflows. Emphasis is placed on developing analytical thinking, data literacy, and problem-solving skills required in modern finance and decision intelligence ecosystems.