Financial Analysis and Modeling with AI
Course Overview
A concise overview of the program.
A professional financial analysis and financial modeling course in Excel with AI for finance: financial statements, budgeting and project feasibility.
The course combines Excel's finance toolkit with generative AI tools such as ChatGPT and Claude. You will learn to write effective finance prompts and verify the output, then apply them to financial ratios and DuPont analysis, sales analysis with PivotTables and forecasting, budgeting and variance analysis, and project appraisal with NPV, IRR and payback period.
Exercises use the published financial statements of companies listed on the Saudi Exchange (Tadawul) and anonymized data, with full respect for financial data confidentiality. The course closes with financial modeling standards, model auditing, and the limits of relying on AI output.
Course Content
What you will cover during this program.
✅ AI for Finance and Accounting
🔹 Generative AI tools such as ChatGPT and Claude, and what sets them apart.
🔹 Prompt engineering for finance, and configuring the tool for your Excel version and formula separator.
🔹 Verifying AI output with random samples and moving it into Excel.
🔹 Financial data confidentiality, personal data protection, and preparing anonymized samples.
✅ Financial Statement and Ratio Analysis
🔹 Reading the consolidated financial statements of a company listed on Tadawul.
🔹 Multi-year vertical and horizontal analysis.
🔹 Profitability, liquidity, leverage, asset efficiency and cash conversion cycle ratios.
🔹 DuPont analysis, peer benchmarking, and interpreting the results.
✅ Sales Analysis and Financial Forecasting in Excel
🔹 PivotTables, slicers and calculated fields.
🔹 Spotting patterns and presenting them in charts and dashboards.
🔹 Financial forecasting with trendlines, forecast functions and regression.
🔹 Revenue forecasting by historical growth, and by price and volume.
✅ Budgeting and Financial Projections
🔹 Building the budget with revenue, fixed cost and variable cost schedules.
🔹 Linking the budget to the income statement and the cash flow statement.
🔹 What-if analysis, Goal Seek and Scenario Manager.
🔹 Budget-to-actual variance analysis.
✅ Financial Feasibility and Project Appraisal
🔹 Time value of money, net present value (NPV) and internal rate of return (IRR).
🔹 Payback period and discounted cash flow (DCF).
🔹 Weighted average cost of capital (WACC) and valuation sensitivity analysis.
✅ Professional Financial Modeling: Quality and Auditing
🔹 Financial modeling standards, color coding and automatic check cells.
🔹 Auditing the financial model and finding its errors.
🔹 Reviewing AI output and the limits of relying on it.
Course Objectives
What you will achieve by the end of this program.
- 🔹 Use AI for finance and accounting with professional prompts, verify its output, and keep data confidential.
- 🔹 Analyze financial statements using vertical and horizontal analysis, financial ratios and DuPont analysis, and evaluate performance through benchmarking.
- 🔹 Analyze sales data with Excel PivotTables and forecast it with trendlines, forecast functions and regression.
- 🔹 Prepare budgets and financial projections, and analyze variances with what-if and scenario analysis.
- 🔹 Build the financial side of a project feasibility study with NPV, IRR, payback period and discounted cash flows.
- 🔹 Build and audit professional financial models, and identify the risks of relying on AI output.
Course Overview
A concise overview of the program.
A professional financial analysis and financial modeling course in Excel with AI for finance: financial statements, budgeting and project feasibility.
The course combines Excel's finance toolkit with generative AI tools such as ChatGPT and Claude. You will learn to write effective finance prompts and verify the output, then apply them to financial ratios and DuPont analysis, sales analysis with PivotTables and forecasting, budgeting and variance analysis, and project appraisal with NPV, IRR and payback period.
Exercises use the published financial statements of companies listed on the Saudi Exchange (Tadawul) and anonymized data, with full respect for financial data confidentiality. The course closes with financial modeling standards, model auditing, and the limits of relying on AI output.
Course Content
What you will cover during this program.
✅ AI for Finance and Accounting
🔹 Generative AI tools such as ChatGPT and Claude, and what sets them apart.
🔹 Prompt engineering for finance, and configuring the tool for your Excel version and formula separator.
🔹 Verifying AI output with random samples and moving it into Excel.
🔹 Financial data confidentiality, personal data protection, and preparing anonymized samples.
✅ Financial Statement and Ratio Analysis
🔹 Reading the consolidated financial statements of a company listed on Tadawul.
🔹 Multi-year vertical and horizontal analysis.
🔹 Profitability, liquidity, leverage, asset efficiency and cash conversion cycle ratios.
🔹 DuPont analysis, peer benchmarking, and interpreting the results.
✅ Sales Analysis and Financial Forecasting in Excel
🔹 PivotTables, slicers and calculated fields.
🔹 Spotting patterns and presenting them in charts and dashboards.
🔹 Financial forecasting with trendlines, forecast functions and regression.
🔹 Revenue forecasting by historical growth, and by price and volume.
✅ Budgeting and Financial Projections
🔹 Building the budget with revenue, fixed cost and variable cost schedules.
🔹 Linking the budget to the income statement and the cash flow statement.
🔹 What-if analysis, Goal Seek and Scenario Manager.
🔹 Budget-to-actual variance analysis.
✅ Financial Feasibility and Project Appraisal
🔹 Time value of money, net present value (NPV) and internal rate of return (IRR).
🔹 Payback period and discounted cash flow (DCF).
🔹 Weighted average cost of capital (WACC) and valuation sensitivity analysis.
✅ Professional Financial Modeling: Quality and Auditing
🔹 Financial modeling standards, color coding and automatic check cells.
🔹 Auditing the financial model and finding its errors.
🔹 Reviewing AI output and the limits of relying on it.
Course Objectives
What you will achieve by the end of this program.
- 🔹 Use AI for finance and accounting with professional prompts, verify its output, and keep data confidential.
- 🔹 Analyze financial statements using vertical and horizontal analysis, financial ratios and DuPont analysis, and evaluate performance through benchmarking.
- 🔹 Analyze sales data with Excel PivotTables and forecast it with trendlines, forecast functions and regression.
- 🔹 Prepare budgets and financial projections, and analyze variances with what-if and scenario analysis.
- 🔹 Build the financial side of a project feasibility study with NPV, IRR, payback period and discounted cash flows.
- 🔹 Build and audit professional financial models, and identify the risks of relying on AI output.
FAQ
Find answers to the most common questions about our training courses, registration steps, and certification process.
For any additional inquiries, please reach out to us through our available support channels.
ما هي النمذجة المالية؟
ما الفرق بين التحليل المالي والنمذجة المالية؟
كيف يُستخدم الذكاء الاصطناعي في التحليل المالي والمحاسبة؟
هل تعلّمني الدورة دراسة الجدوى للمشاريع؟
هل أحتاج خبرة متقدمة في اكسل للالتحاق بالدورة؟
Target Audience
This program is designed for the following profiles.
- 🔹 Accountants who want to use AI in accounting and financial analysis.
- 🔹 Financial analysts and professionals in financial planning, budgeting and investment.
- 🔹 Finance managers and decision-makers.
- 🔹 Entrepreneurs and business owners who need a financial feasibility study for their projects.
- 🔹 Recent finance and accounting graduates looking for a practical, in-demand Excel course.
- 🔹 A basic grasp of financial statements and Excel is all you need to join.