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Data Modeling with Microsoft Excel

You're reading from  Data Modeling with Microsoft Excel

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781803240282
Pages 316 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Bernard Obeng Boateng Bernard Obeng Boateng
Profile icon Bernard Obeng Boateng
LinkedIn
Bernard Obeng Boateng is a Microsoft Excel MVP, Microsoft Certified Trainer, with over 10 years work experience in Banking, Insurance and Business Development. He is founder of Finex Skills Hub an approved Training Provider of the Financial Modeling Institute, Canada. Finex Skills Hub runs the Finex Project in Ghana, a pro bono student training outreach program for students in Data Analytics and Financial Modeling. Bernard also provides consultancy services for SMEs (start-ups and existing) in Financial Management, Business Planning and Research. He has an active audience online with about 17,000 followers on his LinkedIn Account. where he shares tips and tricks on Microsoft Excel and other Office Apps.
See other products by Bernard Obeng Boateng

Table of Contents (16) Chapters

Preface 1. Part 1: Overview and Introduction to Data Modeling in Microsoft Excel
2. Chapter 1: Getting Started with Data Modeling – Overview and Importance 3. Chapter 2: Data Structuring for Data Models – What’s the best way to layout your data? 4. Chapter 3: Preparing Your Data for the Data Model – Cleaning and Transforming Your Data Using Power Query 5. Chapter 4: Data Modeling with Power Pivot – Understanding How to Combine and Analyze Multiple Tables Using the Data Model 6. Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
7. Chapter 5: Creating DAX Calculations from Your Data Model – Introduction to Measures and Calculated Columns 8. Chapter 6: Creating Cube Functions from Your Data Model – a Flexible Alternative to Calculations in Your Data Model 9. Part 3: Putting it all together with a Dashboard
10. Chapter 7: Communicating Insights from Your Data Model Using Dashboards – Overview and Uses 11. Chapter 8: Visualization Elements for Your Dashboard – Slicers, PivotCharts, Conditional Formatting, and Shapes 12. Chapter 9: Choosing the Right Design Themes – Less Is More with Colors 13. Chapter 10: Publication and Deployment – Sharing with Report Users 14. Index 15. Other Books You May Enjoy

Part 1: Overview and Introduction to Data Modeling in Microsoft Excel

This part is structured to guide both beginners and intermediate users through the foundational concepts and advanced applications of data modeling in Excel. Here, we delve into what data modeling is, why it is essential in today’s data-driven environment, and how Excel can be a powerful tool in this realm. You’ll also learn how to clean and transform your data using Power Query, ensuring it is in the best possible shape for modeling.

This section has the following chapters:

  • Chapter 1, Getting Started with Data Modeling
  • Chapter 2, Data Structuring for Power Pivot
  • Chapter 3, Preparing your Data for the Data Model
  • Chapter 4, Data Modeling with Power Pivot
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Authors (1)

Profile icon Bernard Obeng Boateng
LinkedIn
Bernard Obeng Boateng is a Microsoft Excel MVP, Microsoft Certified Trainer, with over 10 years work experience in Banking, Insurance and Business Development. He is founder of Finex Skills Hub an approved Training Provider of the Financial Modeling Institute, Canada. Finex Skills Hub runs the Finex Project in Ghana, a pro bono student training outreach program for students in Data Analytics and Financial Modeling. Bernard also provides consultancy services for SMEs (start-ups and existing) in Financial Management, Business Planning and Research. He has an active audience online with about 17,000 followers on his LinkedIn Account. where he shares tips and tricks on Microsoft Excel and other Office Apps.
Read more
See other products by Bernard Obeng Boateng

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