Course 5516420778
55164/20778 Power BI Bundle

Course Description

This 2 day 55164 Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI course followed by this 3 day Course 20778 Analyzing Data with Power BI 2017 are the perfect bundle! Save over $800 and buy the bundle.

This Quick Powerful Graphics with Power View, PowerPivot, Power Query, Power Map and Power BI 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.

Who Should Attend

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

After completing this course, 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.
  • 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.

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

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
Lab : Power View

Module 3: Power Pivot

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
Lab : PowerPivot

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
Lab : Power Query

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
Lab : Power Map

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
Lab : Introduction to Power BI

Prerequisites

Before attending this course, students must have:

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

Course 20778 Wed-Fri 3 days

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Who Should Attend

The 20778 Analyzing Data with Power BI 2017course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Course Outline

Module 1: Introduction to Self-Service BI Solutions

Introduces business intelligence (BI) and how to self-serve with BI.

Lessons

  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations for self-service BI
  • Microsoft tools for self-service BI
  • Lab: Exploring an Enterprise BI solution
  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

After completing this module, students will be able to:

  • Describe the trends in BI
  • Describe the process of data analysis in Power BI.
  • Use the key visualizations in Power BI.
  • Describe the rationale for self-service BI.
  • Describe considerations for self-service BI.
  • Understand how you can use Microsoft products to implement a BI solution.

Module 2: Introducing Power BI

This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

Lessons

  • Power BI
  • The Power BI service
  • Lab: Creating a Power BI dashboard
  • Connecting to Power BI data
  • Create a Power BI dashboard

After completing this module, students will be able to:

  • Develop reports using the Power BI Desktop app.
  • Use report items to create dashboards on the Power BI portal.
  • Understand the components of the Power BI service including licensing and tenant management.

Module 3: Power BI

At the end of this module students will be able to explain the rationale and advantages of using Power BI.

Lessons

  • Using Excel as a data source for Power BI
  • The Power BI data model
  • Using databases as a data source for Power BI
  • The Power BI service
  • Lab: Importing data into Power BI
  • Importing Excel files into Power BI
  • Viewing reports from Excel files

After completing this module, students will be able to:

  • Describe the data model and know how to optimize data within the model.
  • Connect to Excel files and import data
  • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
  • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.

Module 4: Shaping and Combining Data

With Power BI desktop you can shape and combine data with powerful, built-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

Lessons

  • Power BI desktop queries
  • Shaping data
  • Combining data
  • Lab: Shaping and combining data
  • Shape power BI data
  • Combine Power BI data

After completing this module, students will be able to:

  • Perform a range of query editing skills in Power BI
  • Shape data, using formatting and transformations.
  • Combine data together from tables in your dataset.

Module 5: Modeling data

This module describes how to shape and enhance data.

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures
  • Lab: Modeling Data
  • Create relationships
  • Calculations

After completing this module, students will be able to:

  • Describe relationships between data tables.
  • Understand the DAX syntax, and use DAX functions to enhance your dataset.
  • Create calculated columns, calculated tables and measures.

Module 6: Interactive Data Visualizations

This module describes how to create and manage interactive data visualizations.

Lessons

  • Creating Power BI reports
  • Managing a Power BI solution
  • Lab: Creating a Power BI report
  • Connecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

After completing this module, students will be able to:

  • Use Power Bi desktop to create interactive data visualizations.
  • Manage a power BI solution.

Module 7: Direct Connectivity

This module describes various connectivity options using Power BI.

Lessons

  • Cloud data
  • Connecting to analysis services
  • Lab: Direct Connectivity
  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

After completing this module, students will be able to:

  • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
  • Use Power BI with SQL Server Analysis Services data, including Analysis services modules running in multidimensional mode.

Module 8: Developer API

This module describes the developer API within Power BI.

Lessons

  • The developer API
  • Custom visuals
  • Lab: Using the developer API
  • Using custom visuals

After completing this module, students will be able to:

  • Describe the developer API.
  • Use the developer API to create custom visuals.

Module 9: Power BI mobile app

This module describes the Power BI mobile app.

Lessons

  • The Power BI mobile app
  • Using the Power BI mobile app
  • Power BI embedded

After completing this module, students will be able to:

  • Describe the Power BI mobile app.
  • Download and use the Power BI mobile app.
  • Describe Power BI embedded and when you would want to use it.

What You'll Learn

After completing this course, students will be able to:

  • Perform Power BI desktop data transformation.
  • Describe Power BI desktop modeling.
  • Create a Power BI desktop visualization.
  • Implement the Power BI service.
  • Describe how to connect to Excel data.
  • Describe how to collaborate with Power BI data.
  • Connect directly to data stores.
  • Describe the Power BI developer API.
  • Describe the Power BI mobile app.

*NOTE: if an average rating and rating count are shown on this page, they are based on all reviews associated with Dynamics Edge that are shown on the review page, and are not restricted to reviews only for the particular course offered on this page.