Course Title: Business Analytics in Finance
Duration: 30 Hours
Credits: 30

Course Description:

This hands-on workshop is designed for finance students aiming to build practical expertise in business analytics. Through real-world financial data, learners will use tools like Excel, Python, Tableau, and APIs to derive insights, forecast trends, and communicate results effectively to stakeholders. The course combines core analytics concepts, financial statement analysis, predictive modeling, and dashboard creation, culminating in a capstone project that reflects applied learning in the finance domain.

Learning Objectives:

1. Equip learners with core business analytics skills in finance.

2. Train students to analyze real-time financial data effectively.

3. Enable data-driven decision-making using modern tools.

Course Outcomes (COs):

• CO1: Explain analytics concepts and their application in finance.

• CO2: Analyze financial datasets using Excel, Python, and APIs.

• CO3: Create dashboards and predictive models to support decisions.

• CO4: Communicate complex insights clearly to varied stakeholders.

• CO5: Deliver a capstone project demonstrating end-to-end application.