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This course, Microsoft Power BI with AI Tools: Data Analysis and Visual Reporting is designed to empower professionals with the skills to harness the full potential of Power BI and its integrated AI capabilities. Participants will learn how to transform raw data into actionable insights, using AI-driven tools to enhance analysis, automate reporting, and uncover trends and patterns. From mastering the fundamentals of Power BI to leveraging advanced AI models and visuals, this course provides hands-on experience in building intelligent dashboards and reports that support strategic, data-driven decisions.
What will you learn in this Microsoft Power BI With AI Tools: Data Analysis and Visual Reporting
– Understand the fundamentals of Business Intelligence (BI) and how AI tools elevate data analysis and reporting.
– Navigate the Power BI interface and integrate AI capabilities seamlessly into data workflows.
– Utilize natural language processing (NLP) tools like Q&A for instant data queries and smarter reporting.
– Prepare and transform raw data using Power Query Editor, optimizing it with AI enhancements.
– Design and customize visually compelling reports and dashboards with AI-generated narratives and predictive analytics.
– Publish and share reports and dashboards securely, ensuring collaborative engagement and adherence to best practices.
Course Outline
Module 1: Introduction To Self-Service BI and AI Tools
– Overview of Business Intelligence (BI) Concepts
– Introduction to AI Tools in BI: Transforming Data Analysis
– Understanding Microsoft Power BI’s AI Capabilities
Module 2: Getting Started With Power BI
– Navigating the Power BI Interface and Features
– Understanding the Differences Between Power BI Desktop and Power BI Service
– Setting Up Power BI for Data and AI Integration
Module 3: Power BI Data Sources And Preparation
– Importing Data from Various Sources
– Exploring Data Quality Enhancements
– Utilizing AI to Power Query Editor for Data Cleaning and Transformation
Module 4: Fundamentals of Data Modeling
– Creating and Managing Relationships in Data Models
– Utilizing AI to Optimize Data Types and Structures
– Simplifying Data Models with Automated Insight
Module 5: Advanced Data Analysis With DAX And AI
– Introduction to DAX (Data Analysis Expressions)
– Using Calculations and Measures for Advanced Data Analysis
– Applying AI-powered to create a DAX Formula
Module 6: Creating Advanced Dashboards With AI-Driven Insights
– Designing Interactive Dashboards Using Slicers and Filters
– Incorporating AI-Generated Predictive Analytics and Trends
– Best Practices for Building AI-Enhanced Dashboards
Module 7: Leveraging AI Models In Power BI
– Applying Sentiment Analysis and Text Mining in Power BI
– Creating Custom AI Models for Industry-Specific Use Cases
Module 8: Enhancing Report Design With AI
– Using AI to Automate Report Narratives and Explanations
– Optimizing Reports for Performance and Accessibility
– Applying AI-Enhanced Data Storytelling Techniques
Module 9: Publishing, Sharing, and Collaborating with AI Insights
– Publishing Reports to Power BI Service
– Collaborative Features: Sharing AI-Powered Dashboards
– Ensuring Security and Compliance in Reporting