Overview
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The Accounting & Financial Modeling Bootcamp is an online program that helps beginners build practical skills in accounting, financial analysis, Excel-based modeling, and corporate valuation. It is designed for aspiring finance professionals, entrepreneurs, and anyone who wants to better understand financial data and business performance.
The program consists of four integrated but standalone courses delivered through short 5–7 minute video lessons for flexible, self-paced learning.
The first course introduces core accounting concepts such as double-entry bookkeeping, accrual accounting, and the structure and relationship of the income statement, balance sheet, and cash flow statement.
The second course focuses on financial analysis, teaching learners how to evaluate profitability, liquidity, efficiency, and capital structure using key ratios, trend analysis, and benchmarking.
The third course develops hands-on Excel modeling skills, including revenue forecasting, cost modeling, capital expenditures, and working capital management while integrating the three financial statements.
The final course covers valuation techniques such as discounted cash flow (DCF) modeling, cost of capital, and scenario analysis.
By the end of the bootcamp, learners can interpret financial statements, build financial models, and evaluate company performance—essential skills for careers in finance, consulting, and corporate strategy.
Syllabus
- Course 1: Foundations of Financial Statement
- Course 2: Financial Analysis and Ratio Interpretation
- Course 3: Financial Modeling Fundamentals
- Course 4: Valuation and Investment Analysis
Courses
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This course develops the ability to evaluate financial performance using core ratio analysis and structured financial analysis frameworks. Learners begin with profitability ratios and return metrics, examining how organizations generate earnings and deploy capital based on income statement and balance sheet data. The course then explores liquidity ratios, efficiency ratios, and working capital management to assess operational effectiveness and short-term solvency. In the final module, learners analyze capital structure, interest coverage ratios, and benchmarking techniques to evaluate long-term financial stability and industry performance. Throughout the course, emphasis is placed on interpreting financial statements in context, enabling learners to identify strengths, weaknesses, and financial risks. By the end, participants will be equipped to apply ratio analysis to assess profitability, efficiency, and overall financial health in real-world business settings.
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This course introduces the principles and practice of building structured, assumption-driven financial models in Microsoft Excel. You will apply Excel modeling best practices to design clear input, calculation, and output sections; write robust formulas; and document assumptions for transparency and auditability. Starting with model layout and dynamic functions such as INDEX/MATCH and IFERROR, you will develop driver-based forecasts for revenue, expenses, capital expenditures, and working capital. You will then integrate these projections into a fully linked three-statement financial model—connecting the income statement, balance sheet, and cash flow statement with automated logic and validation checks. The course also covers scenario analysis, sensitivity testing using data tables, and model error-checking to support sound financial decision-making. By the end, you will be able to build dynamic, assumption-driven Excel models suitable for business planning, valuation, and performance analysis.
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This course provides a comprehensive introduction to financial accounting and the structure, purpose, and interpretation of financial statements. Learners build a strong foundation in core accounting principles, including double-entry bookkeeping, the accounting equation, and revenue recognition. The course then examines the preparation and analysis of the income statement and balance sheet, focusing on key line items, transaction classification, and the relationships between assets, liabilities, equity, revenues, and expenses. Learners also explore the cash flow statement and develop the ability to link the three core financial statements in integrated financial reporting and basic financial modeling contexts. Through hands-on practice and applied examples, participants learn to record transactions, construct financial statements from basic accounting inputs, and interpret financial performance and position. Designed for beginners, this course emphasizes clarity, practical application, and real-world business relevance.
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This course develops the core skills required for valuation and investment analysis in corporate finance and capital markets. You will learn how to value businesses, projects, and financial assets using both intrinsic valuation and relative valuation approaches. The course begins with the time value of money, discounted cash flow (DCF) modeling, and the estimation of free cash flow, WACC, and terminal value. It then examines market-based methods, including EV/EBITDA, P/E ratios, comparables analysis, and precedent transactions. Using Excel-based financial modeling, you will build DCF models, conduct sensitivity and scenario analysis, and interpret valuation outputs in the context of risk and investor expectations. The course also explores simulation techniques and the integration of AI tools in financial modeling, with attention to governance and model validation. By the end, you will be able to apply valuation frameworks to assess corporate value, analyze investment risk, and support data-driven financial decision-making.
Taught by
Michael McDonald and Starweaver