Finance Data Analytics Course

Our Finance Data Analytics Course is designed to help you analyze financial data and make smart, data-driven business decisions. You’ll learn key concepts such as financial statements analysis, budgeting, forecasting, risk assessment, and performance metrics. The course covers essential tools including Excel, SQL, Power BI/Tableau, and Python for financial modeling. Through real-world case studies and hands-on projects, you’ll gain the skills to interpret financial trends, evaluate business health, automate reports, and deliver insights that support finance, investment, and strategic planning.

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Finance Data Analytics Certification Training Course

Our Finance Data Analytics Course is designed to equip learners with the analytical skills required to interpret, analyze, and visualize financial data for effective business decision-making. This course focuses on tools and techniques used in modern finance, including Excel, Power BI/Tableau, financial modeling, statistical analysis, forecasting, and risk analytics. Whether you are a student, finance professional, accountant, business analyst, or aspiring data analyst, this course provides real-world financial case studies and hands-on projects that build strong analytical and reporting skills essential in the finance industry.

  • Introduction to Finance Analytics
  • Financial data types and data sources
  • Excel for financial analysis
  • Financial formulas & functions (NPV, IRR, PMT, FV)
  • Financial statements analysis (Balance Sheet, P&L, Cash Flow)
  • Ratio analysis & KPI measurement

Financial Analytics is essential for evaluating business performance, reducing risk, forecasting trends, and optimizing financial decisions. This course covers cash flow analysis, budgeting, forecasting models, financial KPIs, investment analysis, ratio analysis, and dashboard creation, along with practical tools used in corporate finance and financial planning. By the end of this course, learners will understand how to transform raw financial data into meaningful insights and use analytics tools to support business strategy and financial management Enroll now and develop advanced financial analytics skills used in banking, corporate finance, investment planning, and business strategy!

What will I learn?

  • Ability to analyze financial statements & interpret business performance
  • Expertise in Excel-based financial analysis & calculations
  • Skills to build financial dashboards and visual reports
  • Knowledge of forecasting, budgeting & predictive modeling
  • Practical experience with financial analytics tools

Requirements

  • Basic understanding of finance or accounting (recommended)
  • Laptop/PC with Excel or BI tools installed
  • No prior analytics or programming experience needed
  • Willingness to practice with real financial datasets

Finance Data Analytics Course Content

Introduction to Finance Analytics
  • What is Finance Analytics?
  • Role of Data Analytics in Financial Decision-Making
  • Traditional Finance vs Data-Driven Finance
  • Financial Analytics Lifecycle
  • Key Finance Data Systems (SAP, Oracle Financials, QuickBooks, Zoho, Tally)
Financial Data & Statement Fundamentals
  • Understanding Data Flow in Finance
  • Key Financial Statements:
  • Balance Sheet
  • Profit & Loss (Income Statement)
  • Cash Flow Statement
  • Understanding Chart of Accounts
  • Finance Data Types: Transactional, Historical & Forecasting Data
  • Accounting Concepts (Debit/Credit, Accrual, Depreciation, Revenue Recognition)
Key Financial Metrics & KPIs
  • Profitability Metrics
  • Gross Margin, EBITDA, Net Income, ROA, ROE
  • Liquidity Metrics
  • Current Ratio, Quick Ratio, Working Capital
  • Efficiency Metrics
  • Inventory Turnover, DSO, DPO, CCC (Cash Conversion Cycle)
  • Valuation Metrics
  • Market Capitalization, P/E Ratio, Enterprise Value
  • Risk & Forecasting KPIs
  • Value at Risk (VaR), Sensitivity Ratios, Loan Default Risk
  • Industry-Specific KPIs: Banking, Manufacturing, Insurance, SaaS
Excel for Financial Analysis
  • Financial Functions (NPV, IRR, PMT, FV, RATE)
  • Lookup & Advanced Formulas (XLOOKUP, INDEX MATCH, TEXT Functions)
  • Pivot Table Reporting for Finance
  • Financial Modeling Basics (DCF, Scenario Analysis, Sensitivity Modeling)
  • Automation using Macros & What-If Analysis
SQL for Finance
  • Querying Finance Databases
  • Joins on Ledger, Sales, Invoice & Payment Tables
  • Data Cleaning & Validation Queries
  • Aggregations for P&L & Balance Sheet Reporting
  • Stored Procedures & Performance Queries for Large Financial Data
Python for Financial Analytics
  • Python Basics for Finance
  • Pandas for Accounting & Financial Data
  • NumPy for Statistical Calculations
  • Time Series Analysis & Forecasting
  • Automating Financial Reporting with Python
  • Web Scraping for Market & Stock Data
Financial Modeling & Forecasting
  • Cash Flow Forecasting
  • Budget vs Actual Reporting
  • Capital Budgeting & Scenario Planning
  • Trend Analysis, Correlation & Regression Models
  • Predictive Forecasting (ARIMA, Prophet, Exponential Smoothing)
  • Monte Carlo Simulation for Risk Modeling
Data Visualization for Finance
Using Power BI / Tableau
  • Importing Finance Data
  • Creating Financial Dashboards:
  • Sales Performance Dashboard
  • P&L Dashboard
  • Budget Variance Dashboard
  • Cash Flow Forecasting Dashboard
  • Time Series Visuals & Advanced DAX
  • Row Level Security for Financial Confidentiality
Machine Learning in Financial Analytics
  • Fraud Detection (Anomaly Detection)
  • Predictive Credit Scoring
  • Churn Analysis for Subscription-Based Businesses
  • Portfolio Optimization Models
  • Algo-Trading Basics (Optional)
  • Risk Modeling (Credit, Market, Operational Risk)
Regulatory, Compliance & Governance
  • Risk Modeling (Credit, Market, Operational Risk)
  • IFRS
  • GAAP
  • SOX
  • Audit Trail & Internal Controls
  • Data Security & Governance in Finance (GDPR/ISO Standards)
Industry Use Cases & Case Studies
  • Banking Loan Risk Analysis
  • Stock Market Price Forecasting
  • Revenue Forecasting Model
  • SaaS Financial Reporting Model
  • Working Capital Optimization Project

Start Your Enrollment

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Why Choose Us ?

Our Finance Data Analytics Course is designed to help students and professionals gain practical skills in analyzing financial data, forecasting trends, and making strategic decisions using real-world tools. At TCIIT, we focus on hands-on training that enables you to work with financial datasets, create dashboards, and interpret key financial metrics effectively. You will learn Excel, Power BI, SQL, Python for finance, budgeting, forecasting, and financial reporting through live projects and industry-based case studies. Our expert trainers guide you step-by-step, ensuring you can analyze financial statements, track performance, and provide actionable insights confidently. Choose us for practical learning, industry-relevant projects, expert mentorship, and job-ready skills in financial analytics for roles like Financial Analyst, Business Analyst, and Data Analyst in finance domains.

Diverse Career Opportunities in Finance Data Analytics: Exploring High-Value Roles in India’s Financial & Banking Sector

In India, expertise in Finance Data Analytics opens the door to strong and lucrative career opportunities across banking, fintech, insurance, investment firms, consulting, and corporate finance departments. Top organizations like JPMorgan, Goldman Sachs, Deloitte, KPMG, ICICI Bank, HDFC, American Express, and Accenture actively hire Finance Analytics professionals to analyze financial data, assess risks, optimize portfolios, and support data-driven financial decision-making. Finance Data Analysts are highly valued for their ability to interpret financial statements, analyze market trends, build forecasting models, detect anomalies, automate reporting, and evaluate investment risks using tools such as Excel, SQL, Python, Power BI, and financial modeling techniques. Their work helps improve profitability, reduce financial risks, and enhance strategic planning. Salary packages vary based on expertise and domain knowledge. In India, the average annual salary for a Finance Data Analyst ranges from 700,000 to 1,200,000 INR, while in the USA it is approximately $95,000 per year, highlighting strong global demand and excellent earning potential in analytics-driven finance roles.

Get Finance Data Analytics Certification

Three easy steps will unlock your Finance Data Analytics Certification

  • Complete the online/offline Finance Data Analytics Course along with all required assignments.
  • Work on and successfully complete multiple industry-based finance analytics projects, including financial modeling, risk analysis, forecasting, budgeting, and dashboard creation.
  • Pass the Finance Data Analytics Certification Exam to earn your verified, industry-recognized certificate.

The certificate for this Finance Data Analytics course will be delivered through our learning management system (LMS). You can download it anytime and add the certificate link to your CV, resume, or LinkedIn profile to showcase your financial analysis and data-driven decision-making skills.

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