Excel Business Intelligence: Data Modeling 101
1h 5mIntermediate2018-05-17
Authors

Chris Dutton
Certified Microsoft Excel Expert, Analytics Consultant
Course details
Learn the basics of data modeling in Microsoft Excel from experienced Excel trainer Chris Dutton. In this course—the second installment in the Excel Business Intelligence series—Chris discusses the essentials of database design and normalization. He steps through the data model interface in Excel and provides tried-and-true tips and tricks. The topics covered in this course can help you bolster your understanding of table relationships, hierarchies, and more.
Learning objectives
Data versus diagram view
Database normalization
Data tables versus lookup tables
Creating and modifying table relationships
Differences between one-to-one, one-to-many, and many-to-many relationships
Connecting multiple data tables
Hiding fields from client tools
Defining hierarchies
Learning objectives
Data versus diagram view
Database normalization
Data tables versus lookup tables
Creating and modifying table relationships
Differences between one-to-one, one-to-many, and many-to-many relationships
Connecting multiple data tables
Hiding fields from client tools
Defining hierarchies
Skills covered
Data ModelingSpreadsheetsMicrosoft ExcelData ScienceBusiness Software and ToolsMicrosoftOne-Off
Concepts
0. Introduction
- 01 - Welcome
1. Getting Started
- 02 - Important - Versions and compatibility
- 03 - Set expectations
2. Data Modeling 101
- 04 - Data modeling introduction
- 05 - Meet the Excel data model
- 06 - Data versus diagram view
- 07 - Database normalization
- 08 - Data tables versus lookup tables
- 09 - Relationships versus merged tables
- 10 - Create table relationships
- 11 - Modify table relationships
- 12 - Active versus inactive relationships
- 13 - Relationship cardinality
- 14 - Connect multiple data tables
- 15 - Filter direction
- 16 - Hide fields from client tools
- 17 - Define hierarchies
- 18 - Data model best practices
Conclusion
- 19 - Next steps
Related courses
- Build with AI: AI-Powered Dashboards with Streamlit
- Python: Working with Predictive Analytics
- Data Modeling in MongoDB
- Predictive Analytics Essential Training for Executives
- Building Model-Driven Power Apps
- Excel VBA: Process Modeling
- Uncovering Opportunities and Risks: Applying Predictive Analytics in CSM
- Data Science Methodologies: Making Business Sense