Hands-On Financial Modeling with Microsoft Excel 2019: Build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019
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Hands-On Financial Modeling with Microsoft Excel 2019: Build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019
By the end of this book, you will have the skills you need to build financial models to extract the information required to make informed business decisions.
Hands-On Financial Modeling with Microsoft Excel 2019: Build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019
Nº de artículo: 17853656

Hands-On Financial Modeling with Microsoft Excel 2019: Build practical models for forecasting, valuation, trading, and growth analysis using Excel

Nº de artículo: 17853656

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By the end of this book, you will have the skills you need to build financial models to extract the information required to make informed business decisions.
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What Stands Out

Practical Approach
Focuses on hands-on modeling techniques that empower users to build real-world financial models effectively, enhancing practical skills for diverse financial analyses.
Comprehensive Coverage
Covers essential topics like forecasting, valuation, and trading, making it suitable for individuals seeking a thorough understanding of financial modeling and analysis using Excel.
Excel 2019 Focus
Leverages the latest features of Excel 2019, equipping users with state-of-the-art tools and techniques for advanced financial modeling and improved accuracy in analyses.

Detalles de producto

Item Weight2 lbs (910 grams)

Who Should Buy?

Suitable For
  • Finance Students

    Ideal for students seeking practical skills in financial modeling for their academic and professional careers in finance.

  • Business Analysts

    Suitable for analysts looking to enhance their financial modeling skills to drive informed business decisions and growth.

  • Investment Professionals

    Great for professionals who require robust modeling techniques for valuation, trading, and financial forecasting in their roles.

Not Suitable For
  • Beginners in Excel

    Not suitable for users with little to no experience in Excel, as it assumes a foundational knowledge of the software.

DESCRIPCIÓN DEL PRODUCTO

Hands-On Financial Modeling with Microsoft Excel 2019: Build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019

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Preguntas y respuestas de los clientes

  • Pregunta: Who is this book intended for?

    Respuesta: This book is for data professionals, analysts, traders, business owners, and students interested in financial modeling.
  • Pregunta: Do I need prior experience with Excel to understand this book?

    Respuesta: The book is designed for individuals with varying levels of Excel experience, making it accessible to beginners.
  • Pregunta: What skills will I gain after reading this book?

    Respuesta: You will gain skills in building financial models, performing valuations, and making data-driven business decisions.
  • Pregunta: Are the instructions in this book easy to follow?

    Respuesta: Yes, the instructions are clear and simple to follow.
  • Pregunta: Is this book suitable for beginners?

    Respuesta: Yes, this book is recommended for beginners.
  • Pregunta: Does this book provide in-depth knowledge on financial concepts?

    Respuesta: No, some readers found that the book lacked in-depth knowledge on certain financial concepts.
  • Pregunta: Are the excel examples accurate and comprehensive?

    Respuesta: No, some readers mentioned discrepancies between the instructions in the book and the excel examples provided.

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características y beneficios

  • Learn practical financial modeling skills using Excel 2019.
  • Understand key concepts for income statements, cash flow, and balance sheets.
  • Master valuation techniques and identify growth drivers through real-world case studies.
  • Build efficient financial models with advanced Excel functions and features.
  • Ideal for professionals, analysts, traders, and students, regardless of data experience.
  • Gain insights to make informed business decisions through data-driven analysis.

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