QuickStart to Power BI for Analysts and Users

Gain an essentials understanding of the features and benefits of Power BI for your data analysis actions.

Retail Price: $1,595.00

Next Date: Request Date

Course Days: 2


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WHAT YOU'LL LEARN

Join an engaging hands-on learning environment, where you’ll learn:

  • 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
  • Manage Power BI for the web

WHO SHOULD ATTEND?

Business Analyst, Data Analysts, Data Scientist, or professionals responsible for reporting on your organization's data.

PREREQUISITES

Before attending this course, you should have:

  • A general knowledge of database concepts (fields, records, relationships)
  • Awareness of key business priorities such as revenue, profitability, and financial accounting
  • Comfort when using Excel

COURSE OUTLINE

Introduction to Self-Service BI Solutions

  • 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
  • Hands-on: Exploring an Enterprise BI solution
  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

Introducing Power BI

  • Power BI
  • The Power BI service
  • Hands-on: Creating a Power BI dashboard
  • Connecting to Power BI data
  • Create a Power BI dashboard

Power BI Exploration

  • 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
  • Hands-on: Importing data into Power BI
  • Importing Excel files into Power BI
  • Viewing reports from Excel files

Shaping and Combining Data

  • Power BI desktop queries
  • Shaping data
  • Combining data
  • Hands-on: Shaping and combining data
  • Shape power BI data
  • Combine Power BI data

Modelling data

  • Relationships
  • DAX queries
  • Calculations and measures
  • What is DAX (Overview)
  • What is DAX (Tabular)
  • Creating Calculated Columns (Basics)
  • Navigation Functions
  • Conditional and Logical Functions
  • Creating Calculated Measures
  • Time Intelligence (Overview)
  • Time Intelligence (Time Intelligence Functions)
  • Using X-Functions and A-Functions
  • Table Functions
  • DAX as a Query Language
  • Hands-on: Let’s Model Data
  • Create relationships
  • Calculations

Interactive Data Visualizations

  • Creating Power BI reports
  • Managing a Power BI solution
  • Hands-on: Creating a Power BI report
  • Connecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

Managing Power BI web interface

  • Creating reports and referencing data sets
  • Managing Power BI web
  • Creating dashboards via web
  • Creating Basic Reports with the Power BI Desktop
  • Creating Interactive Reports (Adding Slicers for Filters)
  • Creating Interactive Reports (Visualizing Tabular Data)
  • Creating Interactive Reports (Visualizing Categorical Data)
  • Creating Interactive Reports (Visualizing Data Trends)
  • Creating Interactive Reports (Visualizing Categorical and Trend Data Together)
  • Creating Interactive Reports (Visualizing Geographical Data with Maps)
  • Creating Interactive Reports (Visualizing Goal Tracking)
  • Creating Interactive Reports (Using Custom Visuals)
  • Creating Interactive Reports (Digital Storytelling)
  • Creating Interactive Reports (Other Features)
  • Using the Power BI Service (Deploying to the Power BI Service)
  • Using the Power BI Service (Creating and Sharing Dashboards)
  • Using the Power BI Service (Using Power BI Q&A)
  • Using the Power BI Service (Setting up App Workspaces)
  • Using the Power BI Service (Subscriptions and Alerts)
  • Using the Power BI Service (Excel Integration)
  • Using the Power BI Service (Export and Embed Options)
  • Refreshing the Data (Refreshing Data Overview)
  • Refreshing the Data (Installing the Data Gateway)
  • Refreshing the Data (Scheduling a Data Refresh)
  • Mobile BI (Power BI Mobile Overview)
  • Mobile BI (Designing Reports and Dashboards for Mobile)
  • Mobile BI (Interacting with the Power BI Mobile App)


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