Financial Analysis: Forecasting & Business Valuation
Master financial statement analysis, forecasting, and valuation techniques. Learn to interpret financial data for informed decision-making.
Master financial statement analysis, forecasting, and valuation techniques. Learn to interpret financial data for informed decision-making.
This comprehensive course on Forecasting Financial Statements & Valuation for Accountants equips learners with the knowledge and skills to analyze, interpret, and use financial information for informed decision-making. The curriculum covers a wide range of topics, from understanding external and internal factors affecting financial statements to advanced forecasting and valuation techniques. Students will learn to break apart financial reports, forecast financial statements, and value firms using various models. The course emphasizes critical thinking and practical application, exploring topics such as Non-GAAP adjustments, detailed forecasting processes, and both simple and advanced valuation models. Participants will gain hands-on experience in building forecast models, estimating intrinsic value, and applying popular valuation methods like the Dividend Discount Model, Discounted Free Cash Flow Model, and Residual Income Model. By the end of the course, learners will be well-equipped to analyze financial information from a user's perspective and make sound financial decisions in various business contexts.
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What you'll learn
Analyze and interpret financial statements for informed decision-making
Understand the impact of external and internal factors on financial reporting
Master Non-GAAP adjustments and their implications
Develop skills in financial statement forecasting using various approaches
Build and interpret advanced forecast models
Understand and apply simple and advanced valuation techniques
Skills you'll gain
This course includes:
3.5 Hours PreRecorded video
16 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 9 modules in this course
This course on Forecasting Financial Statements & Valuation for Accountants provides a comprehensive exploration of financial analysis, forecasting, and valuation techniques. The curriculum is designed to equip learners with the skills to analyze and interpret financial information for informed decision-making. Starting with an examination of external and internal factors affecting financial statements, the course progresses through Non-GAAP adjustments, forecasting methodologies, and both simple and advanced valuation models. Students will gain practical experience in building forecast models, estimating intrinsic value, and applying various valuation methods such as the Dividend Discount Model, Discounted Free Cash Flow Model, and Residual Income Model. The course emphasizes critical thinking and real-world application, ensuring that participants can effectively break apart financial reports, forecast financial statements, and value firms in various business contexts. By the end of the course, learners will have a robust toolkit for financial analysis and valuation, enabling them to make sound financial decisions and contribute meaningfully to strategic business planning.
Orientation
Module 1 · 2 Hours to complete
Module 1: Beyond the Financials - External
Module 2 · 1 Hours to complete
Module 2: Beyond the Financials- Internal
Module 3 · 1 Hours to complete
Module 3: Non-GAAP Adjustments
Module 4 · 1 Hours to complete
Module 4: Forecasting
Module 5 · 1 Hours to complete
Module 5: Forecasting- Advanced
Module 6 · 1 Hours to complete
Module 6: Valuation
Module 7 · 2 Hours to complete
Module 7: Valuation- Advanced Part 1
Module 8 · 1 Hours to complete
Module 8: Valuation- Advanced Part 2
Module 9 · 1 Hours to complete
Fee Structure
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Instructors
Expert in Corporate Finance and Accounting Education
Brian Hamm serves as a Clinical Assistant Professor of Accountancy at the University of Illinois Urbana-Champaign's Gies College of Business, bringing extensive corporate leadership experience to academia. An alumnus of UIUC with a BS in Accountancy (1995), his distinguished career includes roles as Chief Financial Officer at both TruGreen (2017-2018) and Energizer Holdings (2015-2017), along with various executive positions at PepsiAmericas and Price Waterhouse. His teaching excellence has been consistently recognized, earning him the 2024 Excellence in Graduate and Professional Teaching Award from UIUC and the Excellence in Graduate Teaching Award from the Gies Business Alumni Association. He teaches advanced courses including Financial Statement Analysis and Accounting Institutions and Regulations, bringing real-world expertise to the classroom. His teaching philosophy emphasizes the importance of cross-functional business understanding and data-driven decision-making, particularly in preparing future business leaders for the rapidly evolving corporate landscape
Influential Leader in Accountancy and Graduate Education
Dr. Nerissa C. Brown is the Associate Dean of Graduate Programs and a Professor of Accountancy at the University of Illinois Urbana-Champaign, where she also serves as the Chief Learning Innovation Officer and holds the PwC Faculty Fellowship as well as the Josef and Margot Lakonishok Faculty Fellowship. With a Ph.D. in Accounting from the University of Maryland, Dr. Brown's research focuses on corporate financial reporting, strategic disclosure practices, and the behavioral biases affecting capital markets. She has published extensively in leading academic journals and has received numerous accolades for her contributions to education, including the Lester H. McKeever Outstanding Leader in Advancing Diversity Award from the Illinois CPA Society. In her role as Associate Dean, she is dedicated to enhancing graduate education and fostering innovative learning experiences. Dr. Brown is also actively involved in various editorial boards and committees within the accounting profession, further demonstrating her commitment to advancing the field of accountancy through research, teaching, and leadership.
Testimonials
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4.6 course rating
27 ratings
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