Power BI Services & DAX

Ratings 3.49 / 5.00

What You Will Learn!

Power BI Cloud - 1 ,Power BI Service Architecture, Power BI Cloud Components,Use,App Workspaces,Report Publish,Reports & Related Data
Creating New Reports in Cloud,Report Publish and Report Uploads,Dashboards Creation and Usage,Adding Tiles to Dashboards
Pining Visuals and Report Pages,Visual Pin Actions in Dashboards,LIVE Page Interaction in Dashboard , Dashboards Actions, Report Actions
DataSet Actions: Create Report,Share, Metrics and Exports,Mobile View & Dashboard Themes,Q & A [Cortana] and Pin Visuals,export, Subscribe
Favorite, Insights, Embed Code,Featured Dashboards and Refresh,Gateways Configuration, PBI Service,Gateway Types, Cloud Connections,Gateway
Data Refresh : Manual, Automatic,Power Query Expressions,Import and Upload Options in Excel,Excel Workbooks and Dashboards
Datasets in Excel and Dashboards,Using Excel Analyser in Power BI,Using Excel Publisher in PBI Cloud,Excel Workbooks, PINS in Power BI
Excel ODC Connections, Power Pivot,Row Level Security (RLS) with DAX,Need for RLS in Power BI Cloud,Data Modelling in Power BI Desktop
DAX Roles Creation and Testing,Adding Power BI Users to Roles,Custom Visualizations in Cloud,Create Report on PBI Services,View Usage Metrics
DAX Functions

Description

Power BI Service Overview: Students will gain an understanding of Power BI Service, which is the cloud-based platform for sharing, collaborating, and publishing Power BI reports and dashboards. They will learn how to navigate the Power BI Service interface, manage workspaces, and utilize collaboration features.
Sharing and Collaboration: Students will learn how to share Power BI reports and dashboards with colleagues, teams, and stakeholders. They will understand different sharing options, set access permissions, and manage content collaboration within Power BI Service.
Data Refresh and Scheduling: Students will learn how to schedule and manage data refresh in Power BI Service. They will understand how to configure automatic data refresh for reports and datasets, ensuring that the data is up to date and accurate.
Power BI Mobile: Students will explore Power BI Mobile, the mobile app for accessing and interacting with Power BI reports and dashboards on smartphones and tablets. They will learn how to navigate the app, view reports offline, and utilize mobile-specific features for enhanced user experience.
DAX Formulas and Functions: Students will dive deeper into DAX formulas, which are used for calculations and data modeling in Power BI. They will learn advanced DAX functions and techniques for creating complex calculations, time intelligence, filtering, and conditional logic.
Calculated Columns and Measures: Students will understand the difference between calculated columns and measures in Power BI and when to use each. They will learn how to create and use calculated columns and measures effectively for data analysis and visualization.
Advanced Data Modeling: Students will learn advanced data modeling techniques using DAX in Power BI. They will explore concepts such as hierarchies, calculated tables, and many-to-many relationships. They will understand how to optimize data models for performance and efficiency.
Advanced Visualization Techniques: Students will gain skills in creating advanced visualizations using DAX expressions. They will learn how to use DAX to customize and enhance visualizations, create dynamic visuals, and implement advanced charting techniques.
Advanced Analytics with DAX: Students will explore advanced analytics capabilities in Power BI using DAX. They will learn how to perform statistical analysis, implement advanced calculations, and create complex data models to support advanced analytics scenarios.
Performance Optimization: Students will understand techniques for optimizing the performance of Power BI reports and dashboards. They will learn how to improve query performance, optimize data models, and manage large datasets efficiently.

By completing a Power BI Services and DAX course, students will develop advanced skills in utilizing Power BI Service for sharing and collaboration, as well as leveraging DAX formulas for sophisticated data analysis and modeling. These skills are valuable for professionals working in business intelligence, data analysis, and decision-making roles.