Duration 3 days – 21 hrs.
Overview.
This comprehensive 3-day course is designed to equip students with the knowledge and skills required to effectively analyze data using Microsoft Power BI. Participants will delve into various methods and best practices aligned with both business and technical requirements for modeling, visualizing, and analyzing data within the Power BI ecosystem. The course covers data access and processing from diverse sources, encompassing both relational and non-relational data. Additionally, it explores the implementation of robust security standards and policies across Power BI, including datasets and groups. Participants will also learn how to manage and deploy reports and dashboards for sharing and content distribution. The course culminates in the creation of paginated reports within the Power BI service and their publication to a workspace for integration into Power BI.
Objectives
- Describe self-service BI.
- Familiarize themselves with the Power BI suite of products.
- Connect to data sources and optimize data models.
- Shape and combine data from various sources.
- Model data effectively.
- Create reports and manage solutions.
- Understand the Power BI developer API.
- Utilize the Power BI mobile app for reporting.
Audience
- BI professionals who require in-depth skills to analyze data using Power BI.
- Technically proficient business users.
Pre- requisites
- Excellent knowledge of relational databases and reporting.
- Basic understanding 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 like revenue, profitability, and financial accounting (desirable).
- Familiarity with Microsoft Office applications, particularly Excel.
Course Content
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
Introducing Power BI
- Power BI
- The Power BI service
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
Shaping and Combining Data
- Power BI desktop queries
- Shaping data
- Combining data
Modeling Data
- Relationships
- DAX queries
- Calculations and measures
Interactive Data Visualizations
- Creating Power BI reports
- Managing a Power BI solution
Direct Connectivity
- Cloud data
- Connecting to analysis services
Developer API
- The developer API
- Custom Visuals
Power BI mobile app
- Power BI mobile apps
- Using the Power BI mobile app
- Power BI embedded
Participants will have the opportunity to apply their knowledge through practical hands-on labs:
Lab 1: Exploring an Enterprise BI Solution
Lab 2: Creating a Power BI Dashboard
Lab 3: Importing Data into Power BI
Lab 4: Shaping and Combining Data
Lab 5: Modeling Data
Lab 6: Creating a Power BI Report
Lab 7: Direct Connectivity
Lab 8: Using the Developer API
