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Analyzing and Presenting Data with Power BI

Attend face-to-face, remote-live or via on-demand training

Analyzing and Presenting Data with Power BI

Duration: 3 Days

US Price: $1795

Delivery Options: Attend face-to-face in the classroom, remote-live or via on-demand training.

Registration: Click here to register for face-to-face or remote-live sessions, or click here to register for on-demand training.

Schedule View the course schedule

Description

This course provides an in-depth introduction to Microsoft's Power BI suite of products. Students will learn to use the Power BI Desktop and Power BI online service to import, analyze, and visualize business data, and to share business intelligence. The course starts with an exploration of the evolution of relational databases, data warehouse and business intelligence. Later topics include importing and combining data from diverse data sources, shaping and transforming data, and modeling data. Students will develop useful and insightful data visualizations, and create and share reports and dashboards in the Power BI service. Students will learn about collaborating in the Power BI service, and will also gain an introduction to Data Analysis Expressions (DAX).

Students wanting in-depth coverage of DAX and Power Query M in addition to Power BI training should instead attend the Analyzing Data with Power BI, DAX, and Power Query M course rather than this course.

Prerequisites

Before attending this course, students must have:

  • High degree of computer literacy
  • Experience with office applications
  • Familiarity with spreadsheet functionality
  • An understating of fundamental business analysis issues such as revenue, profitability, financial accounting, and reporting
  • Basic familiarity with relational databases and data warehousing is helpful but not required

Course Overview

Introduction to Business Analysis
  • The Evolution of Data Analysis
    • Databases
    • Normal Forms
    • Data Modeling
    • Data Processing
    • Beyond the Database
    • Data Warehouses
    • Fact and Dimension Tables
    • Data Warehouse Schema
    • Star Schema
    • Snowflake Schema
    • Big Data
  • Self-Service Business Intelligence
    • Enterprise Intelligence
    • Self-Service BI
    • The BI Team
    • The Data Steward
  • The Tasks
    • Accessing Data
    • Loading Data
    • Shaping Data
    • Reporting
    • Visualizing Data
    • Collaborating
    • The Tools
    • The Power BI Suite
    • Related Tools
Getting Data with Power BI Desktop
  • The Power BI Workflow
    • Terminology
    • Opening the Power BI Desktop
    • The Navigation and Filter Panes
    • The Visualizations Pane
    • The Fields Pane
    • Power BI Desktop Settings
  • Data Sources
    • On-Premises Data Files
    • Databases
    • Online Databases
    • Software as a Service (SaaS) Providers
    • Internet Data
    • Data Access Issues
    • Data Reliability Issues
  • Getting Data
    • Import vs. Direct Query
    • Advantages of Direct Query
    • Limitations of Direct Query
    • Data Limits
    • Cleaning Data
    • Selecting Data
    • Fundamentals of Getting Data
    • Importing from Excel
    • Preparing Excel Data
    • Importing from Excel
    • Importing from a Database
    • Selecting Data with SQL
    • Importing from a Web Page
    • Revising Data
Transforming and Shaping Data
  • Getting the Right Data
    • Shaping Data
    • How and Where to Transform Data
    • Formatting Currency
    • Columns and Measures
    • Filters
  • The Power Query Editor
    • How Power BI Accesses and Stores Data
    • Query Editor Layout
    • The Transform Tab
    • The Add Column Tab
    • The View Tab
    • Manipulating Columns
    • Applied Steps
    • The Advanced Query Editor
Visualizing Data
  • Visual Data Processing
    • Why We Visualize
    • Choosing the Right Visualization
    • Report Design
  • Creating Visualizations
    • Basic Layout
    • Selecting Data
    • Starting with Data
    • Starting with Visualization Type
    • Sorting
    • Adding Data, Changing Visualizations
    • The Slicer
    • Fields, Format and Analytics in the Visualizations Pane
  • Formatting Visualizations
    • General Formatting
    • Formatting Groups
    • Title
    • Report Themes
    • Data Colors
    • Data Labels
    • Data Labels Display Units
    • Axes
    • Text Boxes, Images, Shapes
  • Visualization Mechanisms
    • The Slicer
    • Q&A
    • Custom Visuals
Types of Visualizations
  • Basic Visualizations
    • Tables
    • Matrixes
  • Bar/Column Charts
    • Clustered
    • Stacked
    • 100%
    • Ribbon Charts
    • Waterfall Charts
  • Line/Scatter/Area Charts
    • Line Chart
    • Scatter Chart
    • Area Charts
    • Line-and-Column Charts
  • Pies and Donuts
    • Pie Charts
    • Donut charts
  • Map Charts
  • Specialized Charts
    • Funnel Chart
    • Gauge Chart
    • Card Chart
    • Multi-Row Card
    • KPI
    • Key Influencers
    • Tree Maps
Modeling Data
  • Data Models
    • The Utility of Data Models
    • Data Types
    • Cardinality
    • Cross Filter Direction
  • Relationships
    • Understanding Relationships
    • Relationships and Keys
  • Hierarchies
    • The Utility of Hierarchies
    • Creating Hierarchies
  • The Model View
    • Changing Relationships
    • Using the Model View
The Power BI Service
  • Overview
    • Functions by Application
    • Limitations
  • Connecting to the Power BI Service
    • Publishing a Report to the Power BI Service
    • Direct Connectivity from the Power BI Service
    • Refreshing Data
    • Gateways
  • The Power BI Service Interface
    • Layout
    • My Workspace
    • Report Edit Mode
  • Dashboards
    • Dashboard Foundations
    • Dashboards vs. Reports
    • Building Dashboards
    • Editing a Dashboard
    • Filtering a Tile
  • Working the Power BI Service
    • Reports
    • Exporting Reports and Data
    • Workbooks
    • Datasets
    • Apps
    • Sharing Reports and Dashboards
    • Q&A
    • Featured Questions
    • Power BI Service Settings
  • Administration
    • Power BI Administration
    • Admin Portal
  • Power BI Mobile
    • The App
    • To Set Up Your Smartphone Layout
    • Power BI Mobile Features and Limitations
Power BI and Programming Languages
  • Survey of Power BI Languages
    • Why?
    • The Power BI REST API
    • R
    • M
    • Python
  • DAX
    • Data Analysis Expressions
    • DAX Syntax
    • Logical Operators
    • DAX Examples

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Training Locations

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