Power BI Dashboard Design Course – Project Focused

Categories: Data Analysis
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About Course

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.

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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

Course Content

Course Introduction

  • Download Materials and Files Here

Section 2: Data Extraction, Transformation and Loading (ETL)

Section 3: Data Modelling, Cardinality and Relationships

Section 4: Dashboard Report Design

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