Srikanth Gopi

Years of Experience in Microsoft Power BI

8

Teaching Experience in detail in Microsoft Power BI

Introduction to Power BI Power BI architecture and components Installation and configuration of Power BI Desktop Overview of Power BI data models and file structures Data Acquisition and Transformation In-depth exploration of Power Query Techniques for extracting, transforming, and loading (ETL) data Advanced data shaping and transformation operations Visualizations and Analytics Construction of diverse visualizations using advanced chart types Customization of visuals through the Power BI interface Leveraging analytics features for enhanced insights Data Analysis Expressions (DAX) Fundamentals Comprehensive study of DAX syntax and functions Implementation of calculated columns and measures Aggregation strategies and time intelligence in DAX Advanced Data Transformation with Power Query Mastering M language for advanced transformations Combining queries and appending data Error handling and custom function development Data Modeling and Relationships In-depth understanding of Power BI relationships Optimization of data models for performance Advanced modeling techniques and best practices Power BI Service Management Deployment and configuration of reports on Power BI Service Workspace creation and management Collaborative features and sharing options Power BI Mobile App Integration Mobile app deployment and configuration Responsive design and mobile-specific considerations Interactivity on mobile devices Security and Governance in Power BI Row-level security implementation User access controls and permissions Data governance strategies and compliance considerations Integration with Microsoft 365 Seamless integration with Excel and other Microsoft 365 applications SharePoint integration and collaboration workflows Advanced Power BI features within Microsoft 365 ecosystem Advanced Visualizations and Customization Techniques Implementation of custom visuals and themes Advanced formatting options using JSON Design principles for effective data storytelling Performance Optimization Strategies Techniques for optimizing report and query performance Handling large datasets and data refresh optimization Best practices for resource-efficient report design Troubleshooting and Debugging Diagnosing common issues and error messages Debugging DAX formulas and Power Query queries Advanced troubleshooting strategies for data refresh Real-world Projects and Case Studies Application of Power BI in complex business scenarios Building end-to-end solutions with real-world datasets Analysis and presentation of challenging datasets Final Project and Certification Development of a comprehensive Power BI project Peer-reviewed assessment and constructive feedback Preparation strategies for the Power BI certification exam

Years of Experience in Alteryx Training

4

Years of Experience in Microsoft Azure Training

6