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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
Author (1):
Bernard Obeng Boateng Bernard Obeng Boateng
Profile icon 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

Questions for discussion

  1. Name five features of Power Pivot and the role they play in data modeling.
  2. What is DAX?
  3. List the key advantages of a data model in analyzing your work.
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Data Modeling with Microsoft Excel
Published in: Nov 2023 Publisher: Packt ISBN-13: 9781803240282
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