DP-605: Prepare and visualize data with Microsoft Power BI
Course Overview
Transform raw data into compelling insights by mastering data preparation and visualization using Microsoft Power BI. This instructor-led course empowers data professionals and business analysts to connect, clean, and model data efficiently, then create interactive reports and dashboards that drive informed decision-making.
Explore the full Power BI workflow—from importing and shaping data with Power Query to building dynamic visualizations and publishing reports for organizational collaboration. Learn best practices for optimizing data models, enhancing performance, and using Power BI’s advanced features to deliver impactful analytics solutions.
This course includes 40% to 50% hands-on activities, providing practical experience in preparing and visualizing data with Microsoft Power BI.
Target Audience:
This course is designed for:
Data analysts, business analysts, and data professionals looking to develop Power BI skills
IT professionals and report developers responsible for delivering self-service BI solutions
Individuals preparing for Microsoft certifications related to Power BI and data analytics
Anyone interested in mastering data transformation and visualization with Power BI
Prerequisites:
Basic understanding of data concepts and familiarity with Excel or other BI tools is helpful but not mandatory.
Course Outline:
Module 1: Introduction to Power BI and Data Preparation
Overview of Power BI components and ecosystem
Connect to various data sources including Excel, databases, and cloud services
Use Power Query Editor to clean, transform, and shape data for analysis
Module 2: Data Modeling Fundamentals in Power BI
Design effective data models using relationships, calculated columns, and measures
Explore DAX (Data Analysis Expressions) basics for powerful calculations
Optimize data models for performance and usability
Module 3: Creating Interactive Reports and Visualizations
Build and customize interactive charts, graphs, and maps
Use slicers, filters, and bookmarks to enhance report interactivity
Apply best practices in visual design and storytelling with data
Module 4: Advanced Analytics Features in Power BI
Implement time intelligence and advanced DAX functions
Use Q&A natural language queries to explore data
Incorporate AI visuals such as key influencers and decomposition trees
Module 5: Sharing and Collaborating with Power BI
Publish reports to Power BI Service and create dashboards
Configure data refresh and manage data gateways
Collaborate using workspaces, apps, and sharing features
Module 6: Power BI Governance and Best Practices
Understand security and access controls in Power BI environments
Monitor report usage and performance
Apply governance strategies for scalable Power BI adoption
Delivery Format:
Instructor-led training with expert demonstrations
40% to 50% hands-on exercises using Microsoft Power BI environment
Real-world scenarios to build practical skills in data preparation and visualization
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