Financial Analytics Course

The Financial Analytics Course is designed to help learners master the intersection of finance and data analytics. With a strong focus on practical learning, this program integrates financial modelling training, SQL for finance, Python for financial data, and Power BI finance dashboards to prepare you for impactful roles in the finance and analytics industry.

Tools Covered

• Microsoft Excel – Advanced Excel for finance calculations & reporting

• SQL – Querying, transforming & analyzing financial databases

• Python with Pandas & NumPy – Data wrangling, cleaning & automation for financial datasets

• Power BI – Financial data visualization, cash flow reports & profitability dashboards

Key Concepts You Will Learn

• Fundamentals of Financial Operations

  • Accounting principles, bookkeeping, and preparation of financial statements

  • Treasury operations & bank reconciliations

• SQL for Analytics

  • CRUD operations, joins & advanced queries for financial analysis

  • Real-world projects like sales & housing data analytics

• Financial Modelling & Analytics

  • Valuation of bonds, stocks & investment opportunities

  • Risk analysis, returns computation & capital investment decision-making

• Exploratory Analysis of Financial Data

  • Time series forecasting of stock prices

  • Univariate, bivariate & multivariate analysis of financial datasets

• Data Visualization with Power BI

  • Interactive dashboards for revenue, expenses & profitability

  • Advanced DAX functions for financial reporting

Who Can Join This Course?

This program is ideal for:

• Students & Fresh Graduates who want to build careers in finance and analytics

• Early Career Professionals seeking to transition into finance roles

• Finance & Accounting Professionals aiming to upskill with financial data visualization, risk analysis in finance, and financial modelling training

• Anyone interested in fintech or corporate finance looking to strengthen analytical expertise

Career Opportunities

On completing this program, learners can pursue roles such as:

• Financial Analyst

• Risk Analyst

• Finance Manager

• Revenue Analyst

• Financial Modelling Consultant

• Fintech Product Analyst

Why Choose This Course?

• Practitioner-based approach with 10+ real-world financial analytics projects

• 180+ Hours of Applied Learning

• Specialized Career Coaching & Resume Building Support

• Experienced Faculty with 20+ Years of Expertise in Finance & Analytics