Division 05 · ARBIMETRA Academy
Build skills that turn knowledge into capability.
Structured learning in finance, financial modelling, data analysis and technology — designed to connect concepts with real-world application. Programmes open one at a time, starting with a small number of high-quality courses.
Learning structure
Three learning areas
Finance fundamentals
Introduction to finance, financial mathematics, the time value of money, financial statements and financial ratios.
Professional finance
Corporate finance, investment analysis, financial modelling, banking and financial systems, and risk management.
Technology and analytics
Advanced Excel for finance, SQL, Power BI and Python for financial analysis, and AI in finance.
Programmes
Course directory
Every programme shows its real status. “Planned” means the outline is defined but no lessons are open yet; “Coming soon” means content is in final review; “Available” means you can start now. There are no enrolments, fees or certificates at this stage.
Introduction to Finance
The core ideas of finance: value, risk, return and how individuals and businesses make financial decisions.
Financial Mathematics & Time Value of Money
Compounding, discounting and annuities — the mathematics behind loans, deposits, investments and valuation.
Financial Statements
How the income statement, balance sheet and cash-flow statement fit together and what each one tells you.
Financial Ratios
Liquidity, profitability, leverage, efficiency and market ratios — how to calculate and interpret them in context.
Corporate Finance
Capital budgeting, cost of capital and capital structure decisions in companies.
Investment Analysis
Measuring returns and risk for shares, bonds and portfolios, and the basics of valuation.
Financial Modelling
Building transparent, auditable models for forecasting, valuation and decision support.
Banking & Financial Systems
How banks work, how deposits and loans are priced, and how the financial system is organised.
Risk Management
Identifying, measuring and managing financial risk in businesses and portfolios.
Advanced Excel for Finance
Spreadsheet techniques for financial analysis: functions, structure, scenarios and charts.
SQL for Financial Analysis
Querying and preparing financial data with SQL.
Power BI for Finance
Building financial dashboards and reports with Power BI.
Python for Financial Analysis
Using Python to calculate, analyse and visualise financial data.
AI in Finance
What AI can and cannot do in finance, and how to use it responsibly.