What you'll be learning
This extensive Power BI course has been painstakingly created to equip learners with sophisticated abilities in reporting, data analysis, and visualisation. The course starts with fundamental subjects including relational databases, SQL Server, and their uses before going deeper into Power BI’s many uses. Designing interactive dashboards, connecting to a variety of data sources, and producing eye-catching visualisations for a range of business requirements are all skills that participants will acquire. Advanced modules concentrate on creating reliable data models, utilising Power Query for effective data transformation, and becoming proficient with DAX functions for dynamic computations.
Real-world applications are also emphasised in the course, including creating paginated reports, turning on row-level security, and utilising Power BI Service for cloud-based analytics collaboration. Participants will get practical experience using Azure databases for large-scale projects, connecting with programs like Excel, and building live dashboards. For smooth workflows, special attention is paid to report optimisation, mobile integration, and data process automation. The course is perfect for professionals, business analysts, and students who want to become experts at making data-driven decisions because by the conclusion of it, students will have the know-how to manage complex data scenarios and provide actionable insights.
- SQL Server Fundamentals
You will understand databases, SQL Server components, and their real-time applications in data analysis and business intelligence. - Introduction to Power BI
You will explore Power BI’s features, job roles, and differences compared to other BI tools like MSBI and Tableau. Additionally, you’ll learn how to install Power BI, connect to various data sources, and create basic reports. - Data Modeling and Visualization
You will learn how to create and manage data models using Power BI’s query editor and visualizations. The course covers designing interactive and paginated reports using various visual types, including tables, charts, and maps. - Advanced Visualization Techniques
You will master advanced visual elements such as slicers, hierarchies, drill-downs, and grouping to enhance data interactivity. You’ll also learn how to create dynamic charts and custom visualizations for more insightful data representation. - Power Query and Data Transformation
You will get hands-on experience with Power Query for data extraction, transformation, and loading (ETL) operations. This includes using M language for complex data transformations and parameter-based queries. - DAX Functions and Calculations
You will learn the core concepts of DAX (Data Analysis Expressions) for creating measures and calculated columns. You will also implement advanced DAX functions such as CALCULATE, AVERAGEX, and time intelligence calculations for powerful data analysis. - Power BI Cloud Integration
You will explore Power BI Service, including how to create and publish reports, dashboards, and apps in the cloud. The course covers data refresh, live dashboards, and integrating APIs for real-time data streaming. - Excel and Power BI Collaboration
You will learn how to publish and share Excel reports in Power BI, and analyze data using Power BI from within Excel. - Row-Level Security (RLS)
You will implement Row-Level Security (RLS) in Power BI to ensure data access restrictions based on user roles. - Power BI Report Server
You will learn the configuration, installation, and use of Power BI Report Server to deploy interactive and paginated reports in a production environment - Real-Time Project Application
Work through a complete real-time project, including report design, data modeling, and cloud integration, while applying the skills learned throughout the course.
Module 1: SQL Server Introduction
This module covers the basics of databases, SQL Server components, and the importance of SQL Server in data analysis and reporting. You’ll also learn about the different types of databases such as OLTP, OLAP, and Data Warehouses, and how they relate to SQL Server.
Module 2: Introduction to Power BI
Gain an understanding of the Power BI ecosystem, its real-time job roles, and compare Power BI with other BI tools like Tableau and MSBI. Learn how to install Power BI, connect to data sources, and navigate its tools for building your first reports.
Module 3: Basic Report Design
Learn to create basic reports in Power BI Desktop. You’ll work with different data sources, understand visual types, and use key features like canvas design, visualizations, and field formatting. Get familiar with exporting and interacting with visual elements.
Module 4: Visual Sync and Grouping
Explore advanced visualization options like slicers, grouping, and visual synchronization. Understand how to apply slicers, select multiple data points, and group static or dynamic data, as well as managing visual interactions within your reports.
Module 5: Hierarchies and Filters
Learn to create hierarchical structures for drill-downs and apply various filters (visual, page, and report-level) for a more refined and customized user experience. Master advanced filters such as TOP N filters and cross-report filters for enhanced interactivity.
Module 6: Bookmarks, Azure, and Data Modeling
This module covers bookmarks in Power BI for page navigation and visual filtering. You will also learn about integrating Power BI with Azure databases and working with dynamic data models, including handling complex data sets and using parameters for more flexibility.
Module 7: Visualization Properties
Dive deeper into advanced visualizations, such as stacked charts, maps, and scatter plots. Learn how to configure series, legends, and colors to make your reports more informative and visually appealing.
Module 8: Power Query Level 1
Start working with Power Query and learn its ETL (Extract, Transform, Load) capabilities. Understand data types, transformations, and the use of M language for advanced data manipulation, as well as how to merge and append queries.
Module 9: Power Query Level 2
Build on your Power Query knowledge by learning advanced transformation techniques like grouping, aggregating, pivoting, and unpivoting data. Learn how to detect and change data types, as well as format and clean up your data.
Module 10: Power Query Level 3
Master advanced Power Query techniques such as creating and linking parameters, using conditional columns, and performing data type conversions. This module will teach you how to apply complex transformations and manage data more effectively.
Module 11: DAX Functions - Level 1
Explore DAX (Data Analysis Expressions) and learn how to create measures and calculated columns. Understand the core concepts of DAX, including context, operators, and common functions like SUM, AVERAGEX, and IF.
Module 12: DAX Functions - Level 2
Go deeper into DAX by working with advanced functions like CALCULATE, RELATED, and COUNTROWS. Learn how to use DAX for dynamic calculations, working with facts, and measures, and managing relationships between different data entities.
Module 13: DAX Functions - Level 3
Learn advanced DAX techniques like time intelligence functions, running totals, and working with variables. Master more complex DAX functions to create sophisticated calculations for your Power BI reports.
Module 14: Power BI Cloud - 1
Learn about the Power BI Service, including its architecture, report publishing, dashboard creation, and live data updates. Explore how to share reports, create apps, and use streaming data for real-time business insights.
Module 15: Power BI Cloud - 2
This module delves deeper into Power BI Cloud by covering actions, sharing options, data refresh, and mobile optimization. You’ll also learn about the configuration of data gateways, creating scheduled refreshes, and monitoring the cloud environment.
Module 16: Excel & Row-Level Security (RLS)
Learn how to import and analyze data from Excel in Power BI, use Row-Level Security (RLS) for data access control, and implement security roles using DAX. This module also covers sharing and publishing options between Excel and Power BI.
Module 17: Report Server & RDL
Understand the role of Power BI Report Server for deploying and managing reports in production environments. Learn how to configure the report server, design paginated reports (RDL), and deploy reports to both the server and the cloud.
Module 18: Power Apps
Get introduced to Power Apps and learn how to create custom applications. Explore how to build canvas apps, customize data forms, and integrate triggers and functions for dynamic, interactive user experiences.
Module 19: Power BI Service & Power BI Mobile
Learn the functionality of Power BI Service and its mobile integration, including publishing reports, sharing dashboards, and using Power BI Mobile for on-the-go data access. Discover different content options, such as content packs and data sources.
Module 20: Power BI and Excel Together
Explore how Power BI and Excel can work together seamlessly, including how to pin Excel data to Power BI, publish from Excel to Power BI, and analyze data using both tools in an integrated workflow.
Module 21: Real-Time Project
Apply your knowledge in a real-time project where you will gather requirements, design PBIX reports, perform data modeling, and integrate Azure databases. You’ll also implement DAX calculations, create dashboards, and finalize the project for deployment.
By completing this course, you will:
- Understand the fundamentals of SQL Server, Power BI, and how to use them for data analysis and reporting.
- Design and create interactive reports and dashboards using Power BI.
- Work with multiple data sources and apply data transformations using Power Query.
- Utilize DAX functions for advanced data analysis and calculations in Power BI.
- Implement Row-Level Security (RLS) for data protection and access control.
- Create and manage Power BI reports and dashboards in the cloud, and publish them to the Power BI Service.
- Integrate Power BI with other Microsoft tools, such as Excel and Power Apps, for comprehensive business solutions.
- Build complex data models, hierarchies, and visualizations to analyze and present data effectively.
- Develop real-time, dynamic reports using Power BI’s streaming data capabilities.
- Work with advanced features such as data gateways, bookmarks, and drill-downs for enhanced interactivity and usability.
- Gain hands-on experience with Power BI’s full ecosystem, from desktop tools to cloud services, preparing you for real-world business intelligence applications.
- Complete a real-time project that consolidates the course’s concepts and demonstrates your skills in data modeling, reporting, and analysis.
