Course Information
Course Name: Microsoft Power BI Online Course
Total Video Hours: 10 Hrs 52 Min
Total Videos: 65
This Power BI course online delivers in-depth instruction across data preparation, DAX calculations, report creation, dashboards, advanced analytics, and integration with Microsoft Power Platform and Analysis Services.
Included in This Course
Instructor-led Power BI training with real-world examples
Step-by-step guidance on data modeling and DAX calculations
Practical instruction on reports, dashboards, and paginated reports
Advanced analytics features including forecasting and key influencers
Power BI workspace creation and management
Integration of Power BI with Power Apps and Analysis Services
Security implementation using row-level security and workspace roles
On-demand access to all course videos
Course Outline
Module 1 – Prepare Data
Module 2 – Clean, Transform, and Load Data
Module 3 – Design a Data Model
Module 4 – Create Model Calculations using DAX
Module 5 – Create Reports
Module 6 – Create Dashboards
Module 7 – Create Paginated Reports
Module 8 – Perform Advanced Analytics
Module 9 – Create and Manage Workspaces
Module 10 – Create Power App Visuals
Module 11 – Analysis Services and Power BI
Microsoft Power BI Online Course Article
Microsoft Power BI Online Course addresses the growing demand for effective data visualization and analytics within modern organizations. Power BI has become a core business intelligence platform, enabling professionals to connect to diverse data sources, model data efficiently, and present insights through interactive dashboards and reports. This course focuses on structured methodologies aligned with business intelligence standards and technical best practices.
Introduction to Microsoft Power BI establishes the foundation for understanding Power BI’s role within the Microsoft ecosystem. Power BI serves as a unified platform for data analysis, reporting, and collaboration. The course begins by outlining how Power BI supports decision-making processes by enabling users to transform raw data into meaningful insights. Understanding Power BI’s architecture and components supports efficient adoption across organizations.
Data preparation is a critical stage in any business intelligence workflow. Module 1 focuses on preparing data by connecting to various data sources, including relational and non-relational systems. The course explains how to preview source data and assess data quality before loading it into Power BI. Proper data preparation ensures accuracy, consistency, and reliability throughout the reporting lifecycle.
Cleaning, transforming, and loading data forms the backbone of Power BI solutions. Module 2 demonstrates how to use Power Query to refine datasets by handling missing values, standardizing formats, and shaping data structures. Realistic examples such as employee, reseller, and sales data illustrate how transformations improve analytical readiness. Effective data transformation enhances performance and ensures analytical consistency.
Designing a robust data model is essential for scalable and high-performing Power BI reports. Module 3 introduces data modeling concepts, focusing on relationships, table configuration, and model interfaces. The course explains how to manage many-to-many relationships and implement row-level security. Strong data models support accurate calculations, intuitive navigation, and secure data access across reports and dashboards.
Creating model calculations using DAX enables advanced analytical capabilities. Module 4 provides detailed instruction on DAX context, calculated tables, calculated columns, and measures. Managing date tables and applying time intelligence functions support trend analysis and performance tracking. Understanding filter manipulation allows users to create flexible and dynamic calculations that respond to user interactions.
Report creation is central to communicating insights effectively. Module 5 addresses report design principles, guiding users through basic report creation and enhancement techniques. The course explains how to publish reports, apply conditional formatting, and implement drill-through pages. Interactive features such as buttons and bookmarks enhance user experience and support guided data exploration.
Dashboards provide consolidated views of key metrics and performance indicators. Module 6 focuses on dashboard creation, including real-time dashboards and enhanced layouts. Dashboards enable stakeholders to monitor business performance at a glance, supporting timely and informed decision-making. Understanding dashboard configuration ensures clarity, relevance, and visual consistency.
Paginated reports address specific reporting requirements where precise layouts and printing capabilities are required. Module 7 introduces Power BI Report Builder and explains how to design paginated reports using structured layouts, tables, and datasets. These reports are essential for regulatory, financial, and operational reporting scenarios that require standardized formatting.
Advanced analytics capabilities extend Power BI beyond descriptive reporting. Module 8 explores features such as scatter charts, forecasting, decomposition trees, and key influencers. These tools enable deeper insights into trends, drivers, and patterns within data. Advanced analytics supports predictive analysis and root cause identification, enhancing strategic planning.
Managing workspaces is essential for collaboration and content distribution. Module 9 explains how to create and manage Power BI workspaces, control access, and deploy content securely. Workspace management supports governance, scalability, and efficient collaboration across teams and departments.
Integration with Power Apps expands Power BI’s functionality by enabling action-oriented analytics. Module 10 explains how to create Power Apps visuals that pass context-aware data from Power BI reports to canvas apps. This integration allows users to take immediate action based on insights, bridging the gap between analysis and execution.
Analysis Services integration strengthens enterprise-level data modeling and analysis. Module 11 examines how Power BI connects with SQL Server Analysis Services, including multidimensional models and premium workspaces. Understanding this integration supports advanced data architectures and enterprise analytics strategies.
Microsoft Power BI Online Course emphasizes best practices for security and governance across the Power BI spectrum. Implementing row-level security, managing datasets, and controlling workspace access ensures compliance and data protection. Security considerations are integrated throughout the course to support enterprise deployment requirements.
Business intelligence professionals benefit from Power BI’s ability to unify data modeling, visualization, and analytics within a single platform. This course addresses both technical implementation and business value, ensuring that learners understand how Power BI supports organizational goals. The structured curriculum supports skill development aligned with real-world business intelligence workflows.
Organizations increasingly rely on Power BI dashboards and reports to support strategic decisions. Mastery of Power BI tools enables professionals to deliver insights efficiently and consistently. This Power BI training supports data analysts, business intelligence developers, and IT professionals seeking to enhance their analytical capabilities using Microsoft technologies.
Microsoft Power BI Online Course delivers focused instruction designed to support professional growth in data analysis and visualization. The course content aligns with modern business intelligence practices, addressing data preparation, modeling, analytics, and enterprise integration. Through structured modules and expert instruction, learners gain the skills required to design, deploy, and manage Power BI solutions effectively.
FAQs
Who should take the Microsoft Power BI Online Course?
Data analysts, business intelligence professionals, report developers, and IT professionals working with data visualization and analytics benefit from this course.
Is prior experience required for this Power BI course?
Basic familiarity with data concepts is helpful, but the course covers foundational to advanced Power BI topics.
Does the course cover DAX in detail?
DAX calculations, measures, time intelligence, and filter manipulation are covered extensively.
Are dashboards and reports both included?
The course covers report creation, dashboard design, and real-time dashboards.
Does the course include Power Apps integration?
Power Apps visuals and context-aware integration with Power BI reports are included.
Is security covered in this Power BI training?
Row-level security, workspace access control, and dataset security practices are addressed.
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