Analyzing Data with Power Bi

Course Overview:

This course provides students with the knowledge and skills to analyze data with Power BI.

For this course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Course Objectives:

• Describe self-service BI.
• Describe the Power BI suite of products.
• Connect to data sources and optimize data models.
• Shape and combine data from different sources.
• Model data.
• Create reports and manage solutions.
• Describe the Power BI developer API.
• Describe the Power BI mobile app.

Pre-requisites:

• Excellent knowledge of relational databases and reporting.
• Basic knowledge of data warehouse schema topology (including star and snowflake schemas)
• Some exposure to basic programming concepts (such as looping and branching)
• An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable
• Familiarity with Microsoft Office applications (particularly Excel)

Target Audience:

• The primary audience for this course is BI professionals who need to analyze data utilizing Power BI. The secondary audiences for this course are technically proficient business users

Course Duration:

• 21 hours – 3 days

Course Content:

1. Introduction to Self-Service BI Solutions

• Introduction to business intelligence
• Introduction to data analysis
• Introduction to data visualization
• Overview of self-service BI
• Considerations of self-service BI
• Microsoft tools for self-service BI

2. Introducing Power BI

• Power BI
• The Power BI service

3. Power BI

• Using Excel as a data source for Power BI
• The Power BI data model
• Using databases as a Power BI data source
• The Power BI service

4. Shaping and Combining Data

• Power BI desktop queries
• Shaping data
• Combining data

5. Modeling Data

• Relationships
• DAX queries
• Calculations and measures

6. Interactive Data Visualizations

• Creating Power BI reports
• Managing a Power BI solution

7. Direct Connectivity

• Cloud data
• Connecting to analysis services

8. Developer API

• The developer API
• Custom Visuals

9. Power BI mobile app

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

Course Customization Options

To request a customized training for this course, please contact us to arrange.