Course Length: 5 Days
Delivered: Virtually
OVERVIEW:
First day topics covered include an overview of PowerPivot, creating effective and professional reports, creating hierarchies, effectively applying different chart styles, and creating report templates.
TARGET AUDIENCE:
This course is Intended for students with Excel knowledge including PivotTable & Pivot Chart skills® plus a basic understanding of database concepts.
COURSE OBJECTIVES:
This course takes an in depth overview of PowerPivot, creating effective and professional reports, Power Views with Excel, Power Map, and Power Query how to use basic DAX language, Date functions, Banding, Ranking, advanced Slicer techniques, plus using DAX as a query language for customized analysis.
COURSE CONTENT:
1 - Introducing Power BI for Excel
- What Is Power BI for Excel?
- Power BI Key Features
- The Self-Service BI Model
- Power BI in Excel
- PowerPivot Add-In
- Using Power BI
2 - Defining a Report
- What is a PowerPivot Report?
- Defining a Report
- Data-Driven Storytelling
3 - Understanding PowerPivot Data
- Understanding Data Terminology
- Tables
- Relationships
- Diagnosing Data Models
- Data Model Schemas
4 - Create Reports using PowerPivot Data
- Making Changes to PowerPivot Data
- Creating PowerPivot PivotTables
- Creating PowerPivot PivotCharts
- Creating Slicers
- Graphing Data
5 - Understanding PowerPivot Functions
- Calculated Columns
- What is DAX?
- Understanding DAX Functions
- Common DAX Functions
- Dates and Date Functions
6 - Introducing Power BI Tools
- Microsoft's Self-Service Power Bi Model
- What Is Power BI for Excel
7 - Power View for Excel
- What Is Power View?
- Creating Power View Reports
- Power View Interface Components
- Understanding Table Visualizations
- Chart Visualizations
- Power View Tiles, Slicers, & Multiples
8 - Power Map/3D Maps for Excel
- What Is 3D Map/Power Map?
- Preparing a 3D Maps/Power Map Tour
- 3D Maps/Power Map Designer
- 3D Maps/Power Map Formatting Tools
- Finalizing a 3D Maps/Power Map Tour
9 - BI Data Query Basics
- What Is a BI Data Query?
- Planning a BI Data Query
10 - Query Editor Transformations
- Basic Transformations
- Merging & Appending Queries
- Calculated Columns
- Grouping and Summarizing Data
- Unpivoting Data
- Dealing with Malformed Data
- Finalizing Queries
11 - Understanding BI Data
- Business Intelligence Data Sources
- Data Source Types
- Table Roles
12 - Creating Data Models
- Creating a Data Model - Excel
- Creating a Data Model - Database
- Creating a Data Model - Hybrid
13 - Creating DAX Functions
- Review of Syntax and Calculated Columns
- Best Practices
- DAX Measures
- Creating Measures (Calculated Fields)
14 - Dates and Hierarchies
- Building Data Tables
- Building Data Hierarchies
15 - Shaping Reports
- Building Communication Worksheets
- Controlling Item Ordering
- PowerPivot Metadata
16 - Basic DAX Functionality
- Review Of Calculated Column
- PivotTable Function
- Review Of Measure
- Rules Of DAX Measure
- Evaluation Context
- Formatting DAX Code
17 - Controlling Content & Values
- Controlling Values
- Switch Function
- Error Handling
18 - Context Control Functions
- Filter Function
- All Function
- Iterative Functions
- Earlier Function
- Calculate Function
- Additional Uses Of The All Function
19 - Contexts In Relationships
- Working With Many Tables
- Row Context & Relationships
- Filter Context & Relationships
- Values Function
20 - Advanced Concepts
- Circular Dependencies
- Controlling Totals
- Advanced Hierarchy Concepts
21 - Time Intelligence Calculations
- Working With Date Tables
- Calculating Operating Periods
- Working With Missing Periods
- DAX Date Functions
- Advanced Date Functions
- Prior Year Functions
- Moving Averages
22 - DAX Dashboard Techniques
- Parameter Tables
- Banding
- Ranking
- Advanced Slicer Techniques
