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Coursera

Valuation and Investment Analysis

Starweaver via Coursera

Overview

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.

Syllabus

  • Time Value of Money and Discounting Fundamentals
    • This module lays the groundwork for all valuation techniques by focusing on the time value of money. Learners will explore present value, future value, annuities, and discounting methods. The goal is to develop comfort with applying basic financial math to solve real-world problems involving cash flows, rates of return, and opportunity cost.
  • Valuation Models: DCF and Multiples
    • This module introduces the most commonly used valuation models: the Discounted Cash Flow (DCF) model and relative valuation using multiples. Students will learn how to construct a DCF model using forecasted free cash flows and terminal value, and how to derive firm value using comparables like EV/EBITDA and P/E ratios. Emphasis is placed on understanding each method’s assumptions and limitations, and when to use each in real-world scenarios.
  • Financial Modeling with AI
    • This module explores how artificial intelligence is transforming financial modeling, from automating data gathering and cleaning to generating forecasts and stress-test scenarios. Learners will gain a practical understanding of AI tools available to finance professionals, learn how to apply them in model building, and understand the governance, validation, and risk considerations necessary for reliable results. By the end of this module, participants will be equipped to integrate AI into their workflows effectively while avoiding common pitfalls.

Taught by

Michael McDonald and Starweaver

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