Financial Analytics
Financial Analytics courses are designed to equip learners with the tools and techniques to analyze financial data, build predictive models, and support strategic decision-making. These courses blend finance, statistics, and data visualization to offer insights into business performance, risk, and opportunity. Whether you’re from a finance background or looking to transition into financial roles, these practical, job-oriented courses can sharpen your analytical thinking and boost your career. Here’s a breakdown of typical course offerings in various financial areas:
Why Choose This Certification?
Gain hands-on experience in tools like Excel, Power BI, Tableau, Python, and SQL used in financial modeling.
Learn to interpret financial statements, ratios, and forecasts for smarter business decisions.
Improve your market value with industry-relevant, data-driven finance skills.
Practical exposure through case studies, dashboards, and business simulations.
Ideal for finance professionals, analysts, and MBA graduates looking to upskill.
What You Will Learn in Financial Analytics?
Gain a strong foundation in financial markets with hands-on exposure to key areas, including:
- Financial Markets & Equities – Understand market structures and trading dynamics
- Trading Strategies – Learn fundamental approaches the trading
- Python Programming – Develop coding skills for financial applications
- Options, Forwards & Hedge Funds – Explore derivatives and alternative investments
- Geopolitics – Understanding the influence geopolitics has on global economies and their financial markets
- Digital Assets – Defining digital assets, their key properties and use cases in financial markets.

Who Can Enroll?
- MBA/PGDM Finance Students & Graduates
- Working Professionals in Finance, Banking, or Accounting
- Aspiring Data Analysts and Business Analysts
- Entrepreneurs and Consultants
- Anyone looking to bridge the gap between Finance and Analytics
Course Curriculum
- Basics of Excel
- Advanced Excel Techniques
- Data Visualization in Excel
- Accounting Basics
- Financial Statements
- Ratio Analysis
- Time Value of Money
- Capital Budegting
- Valuation Methods
- Measuring Cost of Equity
- Case Study
- Capital Market Products
- Derivatives
- Concepts of Valuation
- Case Study
- Concepts of Comparables
- Power BI
- Basic SQL
- Advanced SQL
- Data Management
Financial Analyst Project Life Cycle
Phase 1:Data Collection & Cleansing Phase
- Source financial data (company reports, market data)
- Clean & format data using Excel/Power BI/SQL
Phase 2:Data Analysis & Modeling Phase
- Perform ratio analysis, trend analysis
- Create forecasting models using Python or Excel
- Visualize insights using Power BI dashboards
Phase 3:Interpretation & Reporting Phase
- Present financial insights in a business context
- Make recommendations based on data-driven outcomes
- Simulate financial scenarios using advanced models