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Data Modeling with Microsoft Excel
Data Modeling with Microsoft Excel

Data Modeling with Microsoft Excel: Model and analyze data using Power Pivot, DAX, and Cube functions

By Bernard Obeng Boateng
S$37.99 S$25.99
Book Nov 2023 316 pages 1st Edition
eBook
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eBook
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Table of content icon View table of contents Preview book icon Preview Book

Data Modeling with Microsoft Excel

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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Key benefits

  • Acquire expertise in using Excel’s Data Model and Power Pivot to connect and analyze multiple sources of data
  • Create key performance indicators for decision making using DAX and Cube functions
  • Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Microsoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data. Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations. This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You’ll also understand how to create powerful and flexible measures using DAX and Cube functions. By the end of this book, you’ll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions.

What you will learn

Implement the concept of data modeling within and beyond Excel Get, transform, model, aggregate, and visualize data with Power Query Understand best practices for data structuring in MS Excel Build powerful measures using DAX from the Data Model Generate flexible calculations using Cube functions Design engaging dashboards for your users

Product Details

Country selected

Publication date : Nov 30, 2023
Length 316 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781803240282
Vendor :
Microsoft
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon AI Assistant (beta) to help accelerate your learning
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Nov 30, 2023
Length 316 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781803240282
Vendor :
Microsoft
Category :
Concepts :

Table of Contents

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

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