Financial Modeling & Valuation with Excel

Understanding how to value a company is a fundamental skill in corporate finance, investment analysis, and financial decision-making. In this course, you will develop a practical understanding of corporate valuation by learning both intrinsic and relative valuation techniques used to estimate a company's financial worth. You will begin by exploring the principles of intrinsic valuation through the Dividend Discount Model (DDM), learning how dividend growth assumptions influence valuation outcomes and how intrinsic value compares with market price. Next, you will build comprehensive Discounted Cash Flow (DCF) valuation models by forecasting financial statements, estimating free cash flows, calculating terminal value, and applying the Weighted Average Cost of Capital (WACC) to determine enterprise value. The course also examines how capital structure, convertibles, stock options, and sensitivity analysis affect valuation results. Finally, you will apply relative valuation techniques using commonly used multiples such as Price-to-Earnings (PE), Price-to-Book Value (PBV), and Price-to-Cash Flow (PCF), while comparing their applications across different industries. Designed for finance professionals, investment analysts, and advanced business students, this course emphasizes structured valuation methods, analytical reasoning, and practical interpretation of valuation outputs. By the end of the course, you will be able to construct valuation models, compare intrinsic and relative valuation approaches, evaluate enterprise and equity value, and confidently interpret valuation results for financial analysis.

Master the practical skills of financial modeling by building and analyzing a complete valuation model using Apple Inc. as a real-world case study. In this course, you will learn how to interpret financial statements, forecast revenue and costs, analyze balance sheets, model working capital, estimate capital expenditures, and construct dynamic financial models that support informed business and investment decisions. As you progress, you will calculate earnings per share (EPS), evaluate receivables, depreciation, debt structures, and equity, then apply core valuation techniques including Discounted Cash Flow (DCF), Weighted Average Cost of Capital (WACC), FCFF, FCFE, Net Present Value (NPV), sensitivity analysis, and terminal value estimation. You will also explore risk-return concepts, beta, equity risk premium, and target share price modeling to strengthen your financial analysis capabilities. Designed for learners interested in corporate finance, financial analysis, equity research, investment banking, and valuation, this course combines structured instruction with practical application using Apple Inc.'s financial data. By the end of the course, you will be able to build professional financial models, forecast financial performance, value companies with confidence, interpret financial information, and make data-driven valuation decisions using industry-recognized financial modeling techniques.

Master the fundamentals of balance sheet analysis and build the confidence to interpret one of the most important financial statements used in business. In this course, you will learn how to analyze assets, liabilities, and shareholders’ equity while understanding the accounting principles and financial reporting standards that support accurate decision-making. Through a structured learning path, you will classify current and long-term assets, evaluate financial obligations, examine goodwill, impairment, and long-term investments, and assess equity accounts, treasury stock, retained earnings, and dividend policies. Designed for students and working professionals, this course combines foundational accounting concepts with practical business applications. Real-world case studies featuring companies such as Colgate, P&G, and Microsoft help you connect accounting theory to corporate financial reporting and valuation. Step-by-step lessons and case-based practice quizzes reinforce key concepts and strengthen your ability to interpret financial information with confidence. By the end of the course, you will be able to read and analyze balance sheets, evaluate liquidity and financial position, apply inventory valuation and reporting concepts, assess shareholders’ equity and dividend strategies, and interpret financial statements for academic, business, and professional contexts. Whether you are strengthening your accounting knowledge or enhancing your financial analysis skills, this course provides a practical and structured approach to mastering balance sheet analysis.

Master advanced Excel functions and analytics to transform data into meaningful business insights. This course teaches you how to build intelligent formulas, analyze large datasets, create dynamic reports, and develop interactive dashboards using advanced Microsoft Excel features. You will progress from logical, information, date, text, lookup, and reference functions to advanced data management, PivotTables, What-If Analysis, and modern data visualization techniques. Designed for professionals, analysts, and business managers who want to move beyond basic spreadsheets, this course provides practical skills for solving real-world business challenges with confidence. You will learn to create flexible formulas with IF, IFS, SWITCH, XLOOKUP, INDEX, MATCH, and OFFSET, clean and organize data with advanced text and date functions, and build scalable models for reporting and decision-making. You will also strengthen your data analysis capabilities by applying Data Validation, worksheet protection, PivotTables, Slicers, Solver, Goal Seek, and interactive reporting tools. Finally, you will create impactful dashboards using Combo Charts, Sparklines, Waterfall, TreeMap, SunBurst, Box-and-Whisker, and Radar charts, along with interactive form controls. By combining advanced formulas, data management, analytics, and visualization into one structured learning path, this course equips you with practical Excel skills to make faster, more informed business decisions.