Overview
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This specialization equips learners with practical, job-ready skills in financial analysis, valuation, forecasting, risk management, financial modeling, and data storytelling. Through four hands-on courses, you'll learn to analyze financial statements, build integrated models, perform valuations, leverage AI-powered analytics, and communicate insights through executive-ready dashboards and presentations. Led by Chartered Accountant and Financial Controller Manish Gupta, the program combines real-world projects and industry-relevant tools to prepare learners for careers in investment banking, corporate finance, consulting, and financial analysis.
Syllabus
- Course 1: Foundations of Financial Analysis
- Course 2: Ratio Analysis & Valuation Methods
- Course 3: Strategic Forecasting & Risk Management
- Course 4: Advanced Modeling, Visualization & Storytelling
Courses
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Navigate uncertainty with a structured approach to strategic forecasting, investment evaluation, and risk management. This course explores how macroeconomic trends, industry dynamics, competitive positioning, and company-specific drivers shape financial performance and long-term value creation. Learners use frameworks such as Porter's Five Forces, SWOT analysis, and industry life cycle analysis to develop realistic assumptions for revenue growth, margins, cash flows, and capital allocation decisions. The course covers financial forecasting techniques including trend analysis, scenario planning, and Monte Carlo simulation, alongside essential capital budgeting tools such as Net Present Value (NPV), Internal Rate of Return (IRR), payback analysis, and Weighted Average Cost of Capital (WACC). Learners also examine market, credit, operational, and liquidity risks through stress testing, sensitivity analysis, Value at Risk (VaR), and practical risk management strategies. Through hands-on exercises and a comprehensive CFO-focused project, learners build forecasting models, evaluate investments, and develop risk management plans that support informed financial decision-making in dynamic business environments.
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Build a strong foundation in financial analysis by learning how to interpret, connect, and evaluate the three core financial statements: the income statement, balance sheet, and cash flow statement. This financial analysis course introduces key accounting principles, IFRS standards, and the analyst techniques used to assess financial performance, identify risks, and improve comparability across companies and industries. Learners will explore revenue recognition, depreciation and amortization, inventory accounting, consolidation, provisions, and the major IFRS vs. US GAAP differences relevant to financial analysis. Through practical examples, mini case studies, and hands-on exercises, you will learn how accounting policy choices affect metrics such as EBITDA, ROIC, earnings quality, and cash flow. The course also examines common financial misrepresentation tactics, including revenue manipulation, expense classification issues, capitalization practices, and non-recurring adjustments. By the end, you will be able to apply financial statement analysis with greater confidence, detect red flags, and perform normalized financial analysis for informed business and investment decision-making.
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Develop practical expertise in Ratio Analysis and Valuation by applying industry-standard financial statement analysis techniques, forecasting methods, and business valuation frameworks used by financial analysts, investment professionals, and corporate finance teams. Throughout the course, you'll perform financial ratio analysis to evaluate profitability, liquidity, solvency, and operational efficiency using key metrics such as gross margin, return on equity (ROE), current ratio, debt-to-equity ratio, and asset turnover ratios. You'll also explore widely used valuation methods, including Discounted Cash Flow (DCF), market multiples, comparable company analysis, and precedent transactions to understand what is valuation and how businesses and investments are assessed. Through hands-on Excel models, AI-assisted dashboards, and real-world case studies, you'll apply financial analysis using ratios to evaluate company performance, identify financial risks, and estimate enterprise value with confidence. The course covers advanced topics such as DuPont analysis, EBITDA quality, working capital management, weighted average cost of capital (WACC), terminal value estimation, and valuation benchmarking across industries. By the end of the course, you'll be able to confidently interpret financial statements, perform comprehensive ratio analysis and valuation, evaluate key valuation assumptions, and communicate data-driven investment insights using professional financial analysis tools.
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Advanced Modeling, Data Visualization & Storytelling develops the skills needed to build sophisticated financial models, create impactful dashboards, and transform complex data into actionable business insights. Learners will apply advanced financial modeling techniques to construct integrated 3-statement models, perform scenario and sensitivity analysis, and automate workflows using Excel, Power BI, and AI-enabled tools. The course emphasizes model integrity, scalability, and decision support, helping learners establish best practices for financial analysis, forecasting, and performance management. Participants will also learn to design interactive dashboards, apply data visualization to key business and financial metrics, and communicate findings through structured data storytelling frameworks tailored to executive audiences. Through a comprehensive, portfolio-ready business case, learners will integrate modeling, visualization, and strategic communication skills to evaluate opportunities, assess risks, and deliver evidence-based recommendations. By the end of the course, learners will be equipped to produce executive-ready financial reports, dashboards, and presentations that support data-driven decision-making in modern organizations.
Taught by
Manish Gupta and Starweaver