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 financial analysis course develops the ability to evaluate financial performance using core ratio interpretation and structured financial analysis frameworks thereby equipping learners with the practical skills demanded across financial planning and analysis, investment, and strategic finance roles. 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 further 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 henceforth enabling learners to identify organizational strengths, weaknesses, and financial risks through financial analysis of a company. By the end, participants will be equipped to apply ratio interpretation to assess profitability, efficiency, and overall financial health in real-world business settings.
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This financial modeling 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 that are the core skills in any financial modeling and valuation workflow. 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. It is the foundation of sound financial analysis and modeling. 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 of this financial modeling fundamentals course, you will be able to build dynamic, assumption-driven Excel models suitable for business planning, financial modeling and valuation, and performance analysis.
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This course provides a comprehensive introduction to financial accounting and the structure, purpose, preparation, 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 examines key financial statement components, including the income statement, balance sheet, and cash flow statement, while helping learners develop practical skills in reading financial statements and understanding their business relevance. Participants will explore transaction classification and the relationships between assets, liabilities, equity, revenues, and expenses. Through hands-on exercises and applied examples, learners will gain experience in financial statement preparation, recording transactions, constructing financial statements for company reporting, and interpreting financial performance and position. Learners will 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. Designed for beginners, this practical financial statements course emphasizes clarity, real-world application, and essential accounting and financial analysis skills.
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This course develops the core skills required for Valuation and Investment Analysis in corporate finance, capital markets, and strategic financial decision-making. Learners will gain practical expertise in financial and investment analysis, business valuation, and modern investment analysis techniques used by finance professionals, investment analysts, and corporate strategists. The course begins by introducing foundational concepts such as the time value of money, discounted cash flow (DCF) modeling, and the estimation of free cash flow, WACC, and terminal value. Participants will learn what is valuation, how to valuate a business, and how intrinsic and market-based valuation approaches are applied in real-world financial environments. The course also explores widely used relative valuation methods, including EV/EBITDA, P/E ratios, comparables analysis, and precedent transactions. Using Excel-based financial modeling and valuation techniques, learners will build DCF models, conduct sensitivity and scenario analysis, and interpret valuation outputs in the context of investment risk and investor expectations. The course further examines simulation methods, governance practices, and the integration of AI tools into modern financial modeling and valuation. Designed for learners pursuing careers in investment analysis and portfolio management, corporate finance, investment banking, and strategic investing, this course provides practical exposure to industry-relevant investment analysis and strategy frameworks used across global financial markets. It is relevant for professionals seeking expertise in business valuation, financial modeling, and advanced financial investment analysis through online learning pathways. By the end of the course, participants will be able to apply advanced valuation frameworks to assess corporate value, analyze investment risk, and support data-driven financial decision-making across a range of financial and investment scenarios.
Taught by
Michael McDonald and Starweaver