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Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI (55164)

Exclusive - How to combine the functionality of Power View, PowerPivot, Power Query, and Power BI into graphs, charts, KPIs, reports, and other visualizations.

This course is designed to teach the participant how to combine the functionality of Power View, PowerPivot, Power Query, and Power BI into graphs, charts, KPIs, reports, and other visualizations for use in their business. This course is lab example intensive.

GK# 6939
Vendor Credits:
  • Global Knowledge Delivered Course
  • Training Exclusives
  • GSA Eligible
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Who Should Attend?

The course is targeted towards business analysts, business intelligence developers, and reporting professionals.

What You'll Learn

By the end of the course students will,

  • Navigate the Power View interface.
  • Utilize Power View reports.
  • Work with tables.
  • Understand aggregations.
  • Utilize matrix.
  • Configure drill through.
  • Use cards as a visualization.
  • Apply filters.
  • Create charts.
  • Utilize tiles.
  • Add slicers to reports.
  • Utilize themes.
  • Navigate the PowerPivot interface.
  • Load data.
  • Examine and configure relationships.
  • Configure calculated columns are calculated fields.
  • Create PivotTables.
  • Understand and utilize DAX.
  • Use KPIs.
  • Work with hierarchies.
  • Manage perspectives.
  • Navigate the Power Query interface.
  • Load data.
  • Filter data.
  • Merge datasets.
  • Manage modifications.
  • Perform data cleaning.
  • Navigate the Power Map interface.
  • Use Bing maps.
  • Examine map data.
  • Configure tours, scenes, and layers.
  • Add time to a presentation.
  • Navigate the Power BI interface.
  • Utilize data sources.
  • Understand querying with natural language.

Course Outline

Module 1: Course Overview

This module explains how the class will be structured and introduces course materials and additional administrative information.

Lessons

  • Introduction
  • Course Materials
  • Facilities
  • Prerequisites
  • What We'll Be Discussing

After completing this module, students will be able to:

  • Successfully log into their virtual machine.
  • Have a full understanding of what the course intends to cover.

Module 2: Power View

In this module, we will explore Power View and its capabilities, then briefly walk-through the types of reports available and how to format them.

Lessons

  • Exploring the Power View Interface
  • Visualizing Power View Reports
  • Working with Tables
  • Understanding Aggregations
  • Utilizing Matrix
  • Configuring Drill Through
  • Using Cards
  • Applying Filters
  • Creating Charts
  • Examining Tiles
  • Adding Slicers to Reports
  • Theming Reports

After completing this module, students will be able to:

  • Navigate the Power View interface
  • Utilize Power View reports
  • Work with tables
  • Understand aggregations
  • Utilize matrix
  • Configure drill through
  • Use cards as a visualization
  • Apply filters
  • Create charts
  • Utilize tiles
  • Add slicers to reports
  • Utilize themes

Module 3: PowerPivot

In this module, we will explore PowerPivot and its capabilities, then briefly walk-through the options available and how to configure them.

Lessons

  • Exploring the PowerPivot Interface
  • Loading Data
  • Examining Relationships
  • Configuring Calculated Columns and Calculated Fields
  • Creating PivotTables
  • Understanding DAX
  • Utilizing DAX Functions
  • Using KPIs
  • Working with Hierarchies
  • Managing Perspectives

After completing this module, students will be able to:

  • Navigate the PowerPivot interface.
  • Load data.
  • Examine and configure relationships.
  • Configure calculated columns are calculated fields.
  • Create PivotTables.
  • Understand and utilize DAX.
  • Use KPIs.
  • Work with hierarchies.
  • Manage perspectives.

Module 4: Power Query

In this module, we will delve into the benefits and features provided using Power Query. We will examine the options available within the ribbon, as well as explore and demonstrate importing, filtering, and merging data using Power Query.

Lessons

  • Exploring The Power Query Interface
  • Loading Data
  • Managing Modifications
  • Examining Data Cleaning

After completing this module, students will be able to:

  • Navigate the Power Query interface.
  • Load data.
  • Filter data.
  • Merge datasets.
  • Manage modifications.
  • Perform data cleaning.

Module 5: Power Map

In this module we will explore Power Map and its capabilities.

Lessons

  • Exploring The Power Map Interface
  • Using Bing Maps
  • Examining Map Data
  • Reviewing Map Types and Presentation

After completing this module, students will be able to:

  • Navigate the Power Map interface.
  • Use Bing maps.
  • Examine map data.
  • Configure tours, scenes, and layers.
  • Add time to a presentation.

Module 6: Introduction to Power BI

In this module, we will explore the Power BI interface and walk-through the options available.

Lessons

  • Introducing Power BI
  • Explaining Excel and Power BI
  • Examining Data Sources
  • Querying with Natural Language

After completing this module, students will be able to:

  • Navigate the Power BI interface.
  • Utilize data sources.
  • Understand querying with natural language.
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Labs Outline

Lab : Course Overview

Lab : Power View

  • Power View Interface
  • Working with Tables
  • Aggregations
  • Matrix
  • Drill Through
  • Cards
  • Filters
  • Charts
  • Tiles
  • Adding Slicers to Reports

Lab : PowerPivot

  • Introduction to the PowerPivot Interface
  • Importing Data
  • Importing Large Datasets
  • Importing Data with a Query
  • Creating Relationships
  • Creating a Cascading Relationship
  • Hiding Columns, Change Data Type, Sorting, and Filtering
  • Calculated Columns and Calculated Fields
  • KPIs
  • Hierarchies
  • Perspectives

Lab : Power Query

  • Getting External Data
  • Data Filtering
  • Merging Datasets

Lab : Power Map

  • View Power Map in Action
  • Geocoding
  • Tours, Scenes, and Layers
  • Adding Time

Lab : Introduction to Power BI

  • Introduction to Power BI
  • Data Sources
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Prerequisites

Before attending this course, students must have working knowledge of Excel

Vendor Credits

SATV Redemption

Redeeming your Microsoft Software Assurance Training Vouchers:

  • 2 Day SATV for a Classroom Live session or Virtual Classroom Live session
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