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Excel Mojo

The Financial Modeling Starter Pack (2025 Edition) is the ultimate beginner-friendly program designed to help you master the essential tools and concepts used in real-world financial analysis and investment decision-making.

Begin with the Basic Excel Course, where you'll learn the core skills needed to work confidently with spreadsheets—formatting data, using formulas, sorting and filtering, creating charts, and managing workbooks efficiently.

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The Financial Modeling Starter Pack (2025 Edition) is the ultimate beginner-friendly program designed to help you master the essential tools and concepts used in real-world financial analysis and investment decision-making.

Begin with the Basic Excel Course, where you'll learn the core skills needed to work confidently with spreadsheets—formatting data, using formulas, sorting and filtering, creating charts, and managing workbooks efficiently.

Progress to the Financial Modeling in Excel Course (2025) and start building complete financial models from scratch. Learn how to analyze historical statements, forecast revenues and costs, model depreciation and working capital, and build fully integrated financial statements that actually balance.

Next, dive into valuation with the Fundamentals of Equity Valuation course. Learn key methods used by analysts and investors, including Dividend Discount Models, Free Cash Flow techniques, and valuation multiples like P/E and EV/EBITDA. Understand when and how to apply each method with clarity.

In the Fixed Income Basics course, explore bonds, treasury instruments, and debt markets. Learn how to price fixed income securities, understand interest rate risk, credit risk, and build fixed income portfolios for steady returns and diversification.

Finally, build your capital market knowledge with the Capital Markets Basics course. Understand how primary and secondary markets function, explore key instruments like derivatives and exchange-traded funds or ETFs, and learn about major players like clearing houses, rating agencies, and intermediaries.

Whether you're a student, aspiring analyst, or finance enthusiast, this bundle gives you the skills to get started with confidence.

Enroll now and take the first step toward becoming a financial modeling professional.

Enroll now

What's inside

Learning objectives

  • Build complete financial models using excel from scratch
  • Analyze financial statements and forecast key business drivers
  • Learn core equity valuation methods like ddm and dcf
  • Understand bonds, fixed income pricing, and risk analysis
  • Gain clarity on capital markets, instruments, and participants

Syllabus

Basic Excel Course

This video shows how to launch Excel and introduces learners to the Excel interface.

This video provides a clear understanding of the structure of an Excel workbook, how to open and save Excel documents, and common Excel shortcuts.

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This video explains how to format cells with the help of examples.

This video helps develop a practical understanding of number and date formatting.

This video explains how to use basic Excel functions, like SUM, COUNT, and AVERAGE

This video provides a clear understanding of how to work with named ranges.

This video provides practical knowledge of AutoFilter in Excel.

This video explains how one can work with column charts.

This video shows how to format charts in Excel.

This video provides a practical understanding of how to use a pie chart.

This video explains how to insert images and shapes in a worksheet.

This video explains the process of printing worksheets.

This video explains how to build the structure of a financial model.

This video explains the second step of the financial modeling process, which involves conducting an analysis of historical financial statements.

This video explains how to forecast the growth of a company in terms of revenue step-by-step.

This video provides a practical understanding of cost projection, which is the fourth step of financial modeling in Excel price.

This video explains how to project depreciation accurately, which is essential to ensure that the financial model reflects the real value of the assets.

This video provides a clear understanding of how to project working capital accurately.

This video explains step #7 of the financial modeling process, which involves completing the cash flow statement.

This video explains how one can handle debt projections with precision.

This video shows the last step, i.e., step #9 of the financial modeling process, which involves balancing the balance sheet.

This video provides a brief understanding of different topics related to equity valuation, like market price and intrinsic value, to build a strong foundation.

This chapter discusses the cost of debt, the cost of equity, and the weighted average cost of capital (WACC).

This video dives into the Gordon Growth Model, which helps determine the intrinsic value of a stock where the dividend increases at a constant rate.

In this video, the instructor explains the dividend discount model, which involves using a combination of these concepts: Beta, average cost of capital, cost of debt and the Gordon growth model.

This video explains how to compute the present value of all the dividends forecasted in the forthcoming years.

This video discusses the free cash flow to equity model, which involves determining the value of a company on the basis of the free cash flows available to equity shareholders.

This video dives into the concept of Free Cash Flow to the Firm. It talks about the cash available from all sources of capital raised by a company.

This video talks about the two main ratios that are part of the multiplier model, which are the Price to Earnings or P/E ratio and the Enterprise Value to EBITDA ratio.

This video explains the asset-based models, which are used for companies that are going to be liquidated or banks in which tangible values and fair values are close.

This video explains what is fixed income and how fixed income instruments differ from other financial instruments.

This video explores the different fixed income instruments available for investment. Some examples are bonds, treasury bills, and treasury notes.

This video dives in to the key differences between fixed income instruments and variable income securities.

This video looks shows the formula to compute the price of fixed income instruments, like bonds. From the formula, one can get a clear idea regarding the factors on which the price of a bond depends. It also provides a clear idea regarding discount, par, and premium bonds.

This video explains how individuals can create a portfolio comprising fixed income instruments.

This video explores the different kinds of risks associated with fixed income securities. A few examples of such risks are call risk, liquidity risk, and credit risk.

This video dives into the benefits offered by fixed income instruments, for example, sustainable returns and portfolio diversification.

This video explains the meaning and importance of analyzing fixed income securities.

This video dives into the different elements that individuals must factor in when carrying out the analysis of fixed income instruments. Some of these elements are credit risk analysis, interest rate risk analysis, and liquidity risk analysis.

This video looks back at the different concepts covered in the course.

This video introduces learners to the concept of capital markets and explains how they differ from money markets.

This chapter explains why companies are publicly listed with the help of an example and gives an overview of the Securities and Exchange Commission. Later, it also, dives into the different financial instruments available in capital markets.

This chapter explores the different types of capital markets — primary market and secondary market. Moreover, it dives into the subtypes of secondary markets.

This chapter dives into securities markets and the noteworthy market participants, like clearing houses and credit agencies.

This video shows the differences between securities and derivatives in detail.

This video explains the butterfly effect and shows key statistics related to global capital markets

This video provides a clear understanding of the different types of financial intermediaries and their roles.

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Career center

Learners who complete Financial Modeling Starter Pack (2025 Edition) will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Financial Modeling Starter Pack (2025 Edition).
Provides a comprehensive introduction to forecasting methods, suitable for both undergraduate students and professionals new to the field. It covers essential concepts and algorithms with practical examples in R, making it a valuable resource for gaining a broad understanding and applying methods. The online version is continuously updated, making it a current reference as well.
Is widely considered a foundational text in financial modeling, often used in university settings. It provides a comprehensive overview of financial modeling principles and applications using Excel. It is highly valuable for building a solid understanding of core concepts and is an excellent reference tool.
More than just a basic Excel guide, this book focuses on applying Excel to real-world data analysis and business problems. It's ideal for those looking to deepen their understanding of using Excel for practical applications, including newer features like dynamic arrays and Power Query. is commonly used as a textbook and strong reference for business professionals.
This practical guide is specifically tailored for those interested in financial modeling using Excel. It provides step-by-step instructions and focuses on applying Excel features to solve common business and financial problems. It's a valuable resource for students and professionals in finance and business roles looking to solidify their modeling skills.
Considered a rigorous and comprehensive textbook, this book provides a deep dive into financial statement analysis within the context of security valuation. It's often used in graduate-level programs and is excellent for serious students and professionals.
Widely recognized text focusing on financial risk management within institutions. It covers market risk, credit risk, operational risk, liquidity risk, and model risk, as well as the regulatory landscape. It's an essential resource for those specifically interested in the financial sector and is often used as a textbook in university programs.
For those interested in contemporary approaches to forecasting, this book explores the application of machine learning techniques to time series data using Python. It's highly relevant for graduate students and professionals looking to incorporate modern methods into their forecasting toolkit. It provides practical guidance and code examples.
Combines financial analysis and modeling concepts with the application of Excel and VBA. It's a valuable resource for those in finance who want to leverage Excel's power for complex analysis and automation. It deepens understanding by integrating financial theory with practical Excel implementation.
Focuses specifically on Power Query, a powerful tool within Excel and Power BI for connecting, transforming, and combining data from various sources. It's highly relevant for contemporary data analysis workflows and is essential for users who need to clean and prepare data efficiently before analysis. This book adds significant depth to data manipulation skills within Excel.
Is highly recommended for those who want to master financial modeling in Excel. It simplifies complex financial concepts and provides in-depth techniques for building, developing, and deploying financial models. It's a valuable resource for finance professionals and students seeking to deepen their financial modeling expertise.
Aswath Damodaran renowned expert in valuation, and this book comprehensive guide to various valuation models and techniques. It's an invaluable resource for anyone building financial models for valuation purposes, providing deep insights into the drivers of value.
Offers a detailed look at Power Query, focusing on practical techniques for data collection, combination, and transformation. It's an essential resource for anyone dealing with messy data and provides valuable skills for efficient data preparation in Excel and Power BI. This book significantly deepens understanding of data wrangling.
Focuses on time series forecasting specifically using Python, covering both statistical and deep learning methods. It's a practical guide for data scientists and analysts who want to implement forecasting models in Python. It's a good resource for exploring contemporary topics and gaining hands-on experience.
Delves into the ways companies can manipulate financial statements to deceive investors. It's crucial for anyone involved in analyzing financial reports and provides valuable insights into identifying potential fraud and accounting irregularities.
Explores the art and science of prediction by examining the traits and methods of highly accurate forecasters. It's an excellent read for anyone interested in improving their forecasting skills, regardless of their technical background. While not a textbook on statistical methods, it provides invaluable insights into the behavioral aspects of forecasting and is considered a must-read for practitioners across all levels.
Comprehensive guide covering a vast range of Excel topics from beginner to advanced levels. It's an excellent resource for gaining a broad understanding of Excel's capabilities and serves as a valuable reference tool for various functions, formulas, and features. While published in 2018, its foundational content remains highly relevant for solidifying core Excel skills.
This McKinsey & Company classic focuses on valuation principles, which are integral to financial modeling. It provides a rigorous framework for valuing companies and understanding the drivers of value. It key resource for anyone involved in corporate finance and valuation.
Focuses on modern data analysis techniques within Excel, including Power Query and Power Pivot. It's a contemporary resource for users looking to update their data cleaning and reporting processes and perform more rigorous data analysis directly within Excel. It's highly relevant for professionals working with data regularly.
Aligned with international standards like ISO 31000 and the COSO ERM Framework, this book offers a comprehensive introduction to the principles and practices of risk management within an organizational context. It covers key concepts, frameworks, and different types of risks, making it a valuable resource for students and professionals seeking a solid foundation in enterprise risk management. is commonly used as a textbook and professional reference.
This timeless classic, written by the father of value investing, provides practical advice on how to make sound investment decisions based on fundamental analysis.
This modern textbook provides a comprehensive overview of all aspects of investment decision-making, including asset allocation, portfolio management, and risk assessment.
Provides insights into how Warren Buffett analyzes financial statements to identify companies with a competitive advantage. It's a valuable resource for investors and anyone interested in applying financial statement analysis to investment decisions.
A comprehensive guide specifically for Excel 365, covering its features and capabilities. Similar to the Excel 2019 Bible, this book offers broad coverage and serves as a valuable reference for users of the subscription-based version of Excel, ensuring relevance to the latest updates.
Focuses specifically on demand forecasting, a critical area in business and supply chain management. It provides practical best practices and is highly relevant for professionals in these fields. It's a good resource for applying forecasting principles to a specific business function.
This handbook provides a solid foundation in financial modeling concepts and their implementation, often using Excel as a tool. It's a good resource for those who want to understand the theory behind financial models while also learning how to build them practically. It's suitable for both students and professionals.
A classic work by the father of value investing. provides a foundational approach to interpreting financial statements for investment purposes. While older, its principles remain highly relevant for understanding the meaning behind the numbers.
Nate Silver, known for his political forecasting, delves into the world of prediction across various domains, explaining why some predictions succeed while many fail. is highly relevant for understanding the challenges and principles of forecasting in practice. It's accessible to a broad audience and serves as an excellent resource for gaining a broad understanding of the complexities involved.
Provides a comprehensive guide to financial modeling in both corporate and project finance contexts. It includes case studies and practical exercises, making it valuable for those focusing on project finance modeling. It covers complex topics with a clear approach.
Lays out the fundamental tasks of risk analysis, including risk management, assessment, and communication, in a clear and conceptual manner. It emphasizes using science and evidence to assess what is known and intentionally addresses the importance of uncertainty. It provides tools and methodologies applicable across various disciplines, making it a strong resource for gaining a broad understanding of the risk analysis process. The second edition includes updated language and expanded sections on enterprise risk management and quantitative/qualitative tools.
Offers a critical look at common risk management methods, arguing that many are not based on sound quantitative analysis and can lead to poor decisions. It advocates for a more calibrated and scientific approach to risk assessment, providing alternative methods and real-world examples of failures. It's a valuable resource for those looking to identify weaknesses in existing risk management practices and explore more effective techniques.
Focusing on the investigation of financial fraud, this book provides a deeper understanding of how financial statements can be manipulated and the techniques used to uncover fraudulent activities. It's relevant for those interested in forensic accounting and advanced financial statement analysis.
Given the global nature of business, understanding international financial reporting standards (IFRS) is crucial. provides a comprehensive guide to analyzing financial statements prepared under IFRS, making it highly relevant for those dealing with international companies.
Offers a practical, hands-on approach to time series forecasting using the R programming language. It's suitable for undergraduate students and professionals who want to learn how to apply various forecasting methods with real-world data. It's a good resource for gaining a broad understanding and developing practical skills.
This guide focuses on the quantification of risk and the modeling of identified risks using techniques like Monte Carlo simulation. It provides building blocks for creating accurate risk analysis models and offers practical techniques for dealing with uncertainty and variability. is particularly useful for those looking to deepen their understanding of quantitative risk analysis methods and valuable reference tool.
A practical guide specifically focused on financial modeling for project finance. It covers the unique aspects of modeling for large-scale projects and funding strategies. It valuable resource for those working in project finance.
Delves into the principles behind financial modeling, emphasizing data structure, layout optimization, and model auditing. It's a comprehensive resource for understanding the best practices in financial model development.
This textbook provides a solid introduction to time series analysis and forecasting, covering a range of methods and including exercises and data sets. It's suitable for undergraduate and graduate students seeking a comprehensive overview of the subject. It serves as a good foundation for further study.
An updated guide to VBA and macros in the latest Excel versions, this book strong resource for automating tasks and extending Excel's functionality. It's suitable for users who want to move beyond basic formula and function usage and into more powerful automation.
Comprehensive reference on derivatives and covers topics such as derivative markets, derivative products, and derivative risk management.
An excellent starting point for beginners, this book introduces financial modeling concepts using Microsoft Excel. It's highly practical with hands-on exercises, making complex topics accessible. It is particularly useful for those with limited prior finance or Excel experience.
Strikes a balance between the theory and practice of financial modeling, offering a comprehensive guide to various modeling techniques. It's suitable for those seeking a deeper understanding of the theoretical underpinnings and practical applications.
This influential book explores the impact of rare and unpredictable events (black swans) that are beyond the realm of normal expectations. It challenges traditional risk management approaches that rely heavily on historical data and normal distributions, prompting readers to think about robustness and fragility in the face of extreme uncertainty. It's a key text for understanding contemporary topics in risk.
A concise and practical guide for absolute beginners, this book introduces the basic interface, creating worksheets, using simple formulas, and basic data manipulation. It's an excellent starting point for those with no prior Excel experience and helps build foundational knowledge.
While not solely an Excel book, 'Data Smart' must-read for anyone in data analysis. It provides a comprehensive guide to using data analysis techniques and tools, including how Excel can be used in real-world scenarios. It helps contextualize Excel within the broader field of data science and is valuable for both beginners and experienced professionals.
Provides a sweeping historical narrative of humanity's understanding and management of risk, from ancient times to the modern era. It's an excellent starting point for gaining a broad understanding of how our perception of risk has evolved and the foundational concepts that emerged. While not a technical manual, it offers essential context and highlights the significance of risk in shaping civilization.
Provides a practical guide to fixed income analysis, covering topics such as credit analysis, portfolio management, and risk management. It valuable resource for anyone who wants to learn more about how to invest in fixed income securities.

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