Power Pivot and Power Bi The Excel User Guide to Dax, Power Query Power Bi and Power Pivot in Excel 2010 2016 2nd Edition by Rob Collie, Avichal Singh ISBN 1615470395 9781615470396

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Product details:

ISBN 10: 1615470395 
ISBN 13: 9781615470396
Author: Rob Collie, Avichal Singh

Microsoft PowerPivot is a free add-on to Excel from Microsoft that allows users to produce new kinds of reports and analyses that were simply impossible before, and this book is the first to tackle DAX formulas, the core capability of PowerPivot, from the perspective of the Excel audience. Written by the world’s foremost PowerPivot blogger and practitioner, the book’s concepts and approach are introduced in a step-by-step manner tailored to the learning style of Excel users everywhere. The techniques presented allow users to produce, in hours or even minutes, results that formerly would have taken entire teams weeks or months to produce. The “pattern-like” techniques and best practices contained in this book have been developed and refined over two years of onsite training with Excel users around the world, and the key lessons from those seminars costing thousands of dollars per day are now available within the pages of this easy-to-follow guide. This updated edition covers new features introduced with Office 2015. 

Power Pivot and Power Bi: The Excel User’s Guide to Dax, Power Query, Power Bi & Power Pivot in Excel 2010-2016 2nd Table of contents:

Chapter 1: Introduction to Power Pivot and Power BI

1. What is Power Pivot?
2. What is Power BI?
3. Power Pivot vs Power BI
4. Overview of the Excel Power BI Add-ins
5. Installing Power Pivot and Power Query
6. Key Concepts and Terminology

Chapter 2: Getting Started with Power Pivot

1. Introduction to the Power Pivot Interface
2. Understanding Data Models and Relationships
3. Creating a Data Model in Power Pivot
4. Importing Data into Power Pivot
5. Using the Power Pivot Ribbon
6. Data Loading Options: DirectQuery and Import Mode

Chapter 3: Data Modeling Fundamentals

1. What is a Data Model?
2. Creating Tables in Power Pivot
3. Adding Relationships Between Tables
4. The Importance of Relationships: One-to-One, One-to-Many, Many-to-Many
5. The Power Pivot Diagram View
6. Using Keys for Data Modeling

Chapter 4: Working with DAX (Data Analysis Expressions)

1. Introduction to DAX
2. Understanding DAX Syntax and Operators
3. Calculated Columns vs Measures
4. Basic DAX Functions (SUM, COUNT, AVERAGE, etc.)
5. Conditional Statements in DAX
6. Time-Intelligence Functions in DAX (Year-to-Date, Moving Averages, etc.)

Chapter 5: Power Query: Data Import and Transformation

1. Introduction to Power Query
2. Importing Data from Various Sources
3. Using the Query Editor
4. Basic Data Transformations: Filtering, Sorting, and Grouping
5. Advanced Data Transformations: Merging and Appending Queries
6. Data Cleansing Techniques
7. Query Dependencies and Data Model Management

Chapter 6: Building Power Pivot Reports

1. Introduction to PivotTables in Power Pivot
2. Creating PivotTables from Data Models
3. Using PivotTables to Analyze Data
4. Power Pivot Calculations: Measures vs. Calculated Columns
5. Formatting PivotTables and Adding Slicers
6. Grouping Data and Creating Hierarchies

Chapter 7: Power BI: Introduction and Integration

1. What is Power BI?
2. Connecting Excel Power Pivot Models to Power BI
3. Power BI Desktop vs. Power BI Service
4. Creating Reports and Dashboards in Power BI
5. Sharing and Collaborating on Power BI Reports
6. Power BI Visualizations: Creating Charts, Tables, and Maps

Chapter 8: Advanced DAX Techniques

1. Advanced Time-Intelligence Functions in DAX
2. Using Variables in DAX Formulas
3. Context in DAX: Row Context and Filter Context
4. CALCULATE and FILTER Functions in DAX
5. Advanced Aggregations and Calculations
6. Debugging and Optimizing DAX Formulas

Chapter 9: Enhancing Reports with Power BI Visuals

1. Introduction to Power BI Visualizations
2. Using Built-In Visuals: Tables, Charts, and Maps
3. Customizing Visuals with Themes and Formatting
4. Using Custom Visuals from the Power BI Marketplace
5. Interactive Features: Drill-Downs and Tooltips
6. Designing Reports for Optimal User Experience

Chapter 10: Power Pivot and Power BI Best Practices

1. Best Practices for Data Modeling
2. Performance Optimization for Large Data Models
3. Naming Conventions and Documentation
4. Keeping Your Data Model and Reports Organized
5. Managing Security and Permissions
6. Version Control and Backup Strategies

Chapter 11: Advanced Power Query Techniques

1. Writing Custom Queries with M Language
2. Automating Data Refresh and Dataflows
3. Optimizing Power Query Performance
4. Handling Errors in Power Query
5. Advanced Data Transformations and M Functions
6. Integrating Power Query with Other Tools (Excel, Power BI)

Chapter 12: Power Pivot and Power BI in the Real World

1. Practical Use Cases for Power Pivot and Power BI
2. Case Study 1: Sales Analysis Dashboard
3. Case Study 2: Financial Reporting and Forecasting
4. Case Study 3: Data-Driven Marketing Insights
5. Case Study 4: Operational Data Monitoring

Chapter 13: Publishing, Sharing, and Collaboration

1. How to Share Reports with Power BI
2. Publishing to Power BI Service
3. Embedding Reports in Websites and Applications
4. Collaboration Tools: Commenting and Sharing in Power BI
5. Securing and Managing Data in Power BI

Chapter 14: Moving Beyond Excel with Power BI

1. Transitioning from Excel to Power BI
2. Integrating Power BI with Other Data Sources
3. Power BI API and Power BI Embedded
4. Power BI and Cloud Services
5. Power BI Pro vs. Power BI Premium

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