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Hands-On Financial Modeling with Excel for Microsoft 365

You're reading from   Hands-On Financial Modeling with Excel for Microsoft 365 Build your own practical financial models for effective forecasting, valuation, trading, and growth analysis

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803231143
Length 346 pages
Edition 2nd Edition
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Author (1):
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Shmuel Oluwa Shmuel Oluwa
Author Profile Icon Shmuel Oluwa
Shmuel Oluwa
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Table of Contents (19) Chapters Close

Preface 1. Part 1 – Financial Modeling Overview
2. Chapter 1: An Introduction to Financial Modeling and Excel FREE CHAPTER 3. Chapter 2: Steps for Building a Financial Model 4. Part 2 – The Use of Excel Features and Functions for Financial Modeling
5. Chapter 3: Formulas and Functions – Completing Modeling Tasks with a Single Formula 6. Chapter 4: Referencing Framework in Excel 7. Chapter 5: An Introduction to Power Query 8. Part 3 – Building an Integrated 3-Statement Financial Model with Valuation by DCF
9. Chapter 6: Understanding Project and Building Assumptions 10. Chapter 7: Asset and Debt Schedules 11. Chapter 8: Preparing a Cash Flow Statement 12. Chapter 9: Ratio Analysis 13. Chapter 10: Valuation 14. Chapter 11: Model Testing for Reasonableness and Accuracy 15. Part 4 – Case Study
16. Chapter 12: Case Study 1 – Building a Model to Extract a Balance Sheet and Profit and Loss from a Trial Balance 17. Chapter 13: Case Study 2 – Creating a Model for Capital Budgeting 18. Other Books You May Enjoy

Illustrative example

Some of the many errors found in source data include partial summarization of the data and grouping of some field headers. In this example, we are going to clean and transform data using various tools, including Unpivot.

You are given a dataset of sales per salesperson in two regions. The dataset includes a number of anomalies, including subtotals and headers in more than one row, as shown in Figure 5.11. You are asked to prepare a pivot table from the data.

(Sample data is available for download to give a more hands-on experience.)

Figure 5.11 – Sales by salesperson, by product, and by region

Use the following steps to load the table into Power Query, transform the data, and finally load it back into Excel as clean data ready for further analysis:

  1. The first step is to convert the data into a table.

Since the data has multiple header rows (see Figure 5.12), you will have to uncheck the option that says My...

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