
Import datasets into Power BI from CSV and other sources, then transform and clean data with Power Query Editor. Build relationships using primary and foreign keys to create basic reports.
Master data type conversion in Power Query using column profiling and distribution. Convert IDs to text and merge queries to join primary keys for the dashboard.
Explore column profiling and column quality in the Power Query editor to assess distribution, validate data types, identify empty or faulty values, and prepare clean Power BI data.
Learn to add a conditional column in Power Query to label progress as not started (0), in progress (1–99), or completed (100) for the Power BI project course.
Identify primary keys and foreign keys in enrollment and student tables, then merge queries to link students, courses, and instructors for Power Query data modeling and dashboards.
Construct a Power BI dashboard by finalizing the Power Query backend, creating measures and columns, and establishing many-to-one relationships to build a star schema in the frontend.
Design a student dashboard in Power BI by renaming the page, setting a 16 by 9 canvas, adding shapes and visuals, using slicers and cards to summarize students and courses.
Design Power BI dashboards by building student and enrollment reports, refining visuals, and enabling drill-through across pages, with navigation and interactive charts.
Explore the Power BI dashboard introduction and learn to use the report canvas, insert visuals, create pages, and apply single-page and across-page filters to build dynamic reports.
Design a student Power BI dashboard by moving elements, adding a donut chart for payment methods, and formatting visuals to reveal percentage shares; plan pagination in the next video.
Learn to add pagination to a Power BI dashboard by creating summary and student buttons, configuring page navigation, and applying hover and active states.
This Power BI course is a hands-on, project-based learning experience tailored for learners at all levels, from beginners to advanced users. The course focuses on building a complete dashboard report for an e-learning company, guiding you through the entire process of data extraction, transformation, and loading (ETL) within Power BI.
Throughout this course, you will learn how to:
Clean and prepare data: Learn how to clean raw datasets and merge them effectively, ensuring data quality and consistency.
Data Modeling: Build relationships between different datasets and create meaningful data models to drive accurate analysis.
Dashboard Design: Use Power BI’s intuitive tools to create stunning, interactive dashboards that present key insights clearly.
Pagination in Dashboards: Add professional touches by implementing pagination features in reports to enhance navigation and readability.
By the end of this course, you will have built a comprehensive Power BI dashboard from scratch, enabling you to apply these skills in real-world e-learning or business analytics scenarios.
Material Includes
Sample datasets for practice (related to the e-learning company project)
Step-by-step video tutorials
Power BI Dashboard templates
Access to the course discussion forum for peer support
Certificate of completion
What Will You Learn?
Overview of Power BI and its components
Data Extraction, Transformation, and Loading (ETL)
Importing datasets from various sources (Excel, databases, etc.)
Cleaning and transforming raw data for analysis
Merging multiple datasets for comprehensive insights
Creating relationships between datasets
Understanding the use of primary keys and foreign keys
Building calculated columns and measures using DAX
Data Visualization and Dashboard Creation
Designing interactive and responsive dashboards
Using different visual elements: charts, tables, slicers, and cards
Customizing visualizations to match specific audience needs
Advanced Power BI Features
Adding pagination to Power BI reports
Best Practices