Our Power BI training, which is tailored to help participants acquire skills to create stunning reports and dashboards that can be published to Power BI Service or on Microsoft Azure. It also offer a wide range of benefits for businesses, enhancing their ability to collaborate and share reports and dashboards published to Azure/Cloud and make data-driven decisions, optimize operations, and gain competitive advantages. Here are some of the key benefits:
- Improved decision-making through real-time, data-driven insights.
- Increased productivity with self-service analytics and automated reports.
- Better customer understanding and forecasting.
- Cost savings by reducing dependency on external tools and optimizing resources.
- Enhanced data security, governance, and compliance management.
- Fostering a data-driven culture that supports continuous innovation.
This training will also get off to a good start on accessing data from various of sources, including prebuilt connectors for popular Azure services like Azure Synapse Analytics, Azure Data Lake Storage, Azure Cosmos DB, Azure Analysis Services, amongst others.
Training Plan:
Day 1: Introduction to Power BI and Data Preparation
Overview of Power BI: What is Power BI; Understanding Power BI Components: Power BI Desktop; Power BI Service; and Power BI Mobile; Installing and Setting up Power BI Desktop.
Introduction to Data Sources: Connecting to Data Sources: Excel, CSV, SQL, Microsoft Azure, Web, etc.; Exploring the Power Query Editor for Data Transformation.
Data Cleaning and Transformation with Power Query: Removing Duplicates; Handling Missing Data; Merging and Appending Queries; Basic Data Transformation: Splitting; Grouping, Pivoting, and Unpivoting Columns.
Hands-On Exercise: Importing and Transforming Data from Multiple Sources.
Day 2: Data Modeling and Relationships
Introduction to Data Modeling: Understanding Tables, Relationships, and Keys; Creating Relationships Between Tables; Types of Relationships: One-to-Many, Many-to-Many.
Creating a Star Schema for Reporting: Designing Fact and Dimension Tables; Using the Relationship View to Build Data Models.
Introduction to DAX (Data Analysis Expressions): Overview of Calculated Columns and Measures; Common DAX Functions: SUM, COUNT, AVERAGE; Creating Simple Calculations with DAX.
Hands-On Exercise: Building a Data Model and Creating Simple Measures.
Day 3: Data Visualization
Introduction to Visualizations: Overview of Power BI Visuals; Creating Basic Charts (Bar, Line, Pie); Formatting and Customizing Visuals (Colors, Titles, Axes, Legends).
Advanced Visualizations: Working with Maps, Tree Maps, and Gauges; Adding Filters and Slicers to Reports; Creating Hierarchies in Visualizations.
Using Drilldowns and Drill-Throughs: Interacting with Data: Drill-Down and Drill-Through Capabilities; Creating Interactive Dashboards.
Hands-On Exercise: Designing a Dashboard with Multiple Visuals and Interactive Elements.
Day 4: Publishing and Sharing Reports
Introduction to Power BI Service (Cloud or Microsoft Azure): Difference Between Power BI Desktop and Power BI Service; Publishing Reports to Power BI Service; Understanding Workspaces, Apps, and Reports in the Cloud or Microsoft Azure.
Creating Dashboards in Power BI Service: Pinning Visuals to Dashboards; Managing and Sharing Dashboards with Teams and Stakeholders.
Collaborating in Power BI: Sharing and Collaborating on Reports; Managing Permissions and Access; Power BI Mobile App for Accessing Reports on the Go.
Hands-On Exercise: Publish a Report to the Power BI Service and Share it with Others on the Go.
Day 5: Security, Best Practices, and Final Project
Implementing Row-Level Security (RLS): Overview of Row-Level Security; Creating and Applying RLS Roles.
Power BI Best Practices: Best Practices for Data Modeling; Designing Effective Reports and Dashboards; Optimizing Report Performance.
Final Project: Building an End-to-End Power BI Solution: Importing Data from Multiple Sources; Creating Data Models and DAX Measures; Designing Interactive Dashboards; Publishing and Sharing the Final Report.
Review and Q&A: Recap of Key Learnings; Q&A Session and Final Discussions.
Optional Day 6: Advance Power BI
One-day additional training can be planned for interested advanced participants.
Note: This training is delivered to individuals, groups of 10 – 15 participants, etc.