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Empower Your Data Journey with Microsoft Power BI
Updated on Sep, 2026
Programming, Data Science, Data Analysis
Duration - 2.5 hours
Training 5 or more people ?
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Welcome to the comprehensive Power BI course designed to help you master the key concepts and unleash the potential of Microsoft Power BI for data analytics and business intelligence. This course is structured into six sections, each focusing on different aspects of Power BI.
In Section 1, "Introduction to Power BI," we begin with an overview of the course and set expectations for your learning journey. You will understand the importance of Business Intelligence (BI) for organizations and explore the benefits of Power BI. Furthermore, you will learn how to download and install Power BI Desktop, familiarize yourself with the interface, and navigate the various components and tools.
Section 2, "Data Preparation and Modeling," delves into the crucial steps of data preparation and modeling. You will gain insights into different data sources in Power BI and learn how to connect to them. We will explore data modeling concepts, understand database tables and relationship concepts, and discover the Extract, Transform, Load (ETL) processes in Power BI. You will also dive into Power Query, a powerful tool for data transformation and cleaning, and master the art of shaping data for analysis. Additionally, you will be introduced to Data Analysis Expressions (DAX) and its role in Power BI, allowing you to perform advanced calculations and create a table calendar.
Section 3, "Visualization and Reporting," focuses on creating compelling visualizations in Power BI. You will explore various visualization types, design effective charts and graphs, and enhance visualizations using formatting options. We will also cover advanced visualization techniques, such as utilizing bar chart race animation for data storytelling, creating interactive reports and dashboards, and incorporating custom visuals and extensions.
In Section 4, "Advanced Modeling and Analysis," you will expand your knowledge of DAX by exploring advanced functions and formulas. You will learn to implement measures and calculated columns and solve complex analysis scenarios using DAX. Additionally, this section will cover advanced data modeling techniques, including star schema implementation for efficient data modeling, snowflake dimensions, and best practices for data model optimization.
In Section 5, "Data Gateway and Collaboration," focuses on data gateway functionality and collaboration in Power BI. You will understand the Power BI Gateway and its role in data refresh and connectivity options. We will delve into sharing and publishing Power BI reports, collaborating with colleagues and stakeholders, and creating content packs and apps for distribution.
In Section 6, "Administration and Performance Optimization," you will learn about Power BI administration and performance optimization. You will explore how to administer Power BI service and tenant settings, monitor report performance and usage metrics, and implement best practices for report optimization.
Finally, in the concluding Chapter 16, we recap the key concepts covered throughout the course, offering you a comprehensive understanding of Power BI. We provide final thoughts and guidance on your next steps for further learning.
By the end of this course, you will be equipped with the skills and knowledge to leverage Microsoft Power BI effectively, enabling you to analyze data, generate meaningful insights, and drive business success. Get ready to embark on an exciting journey into the world of Power BI!
By the end of this course, you will have the knowledge and skills to effectively leverage Microsoft Power BI for data analytics and business intelligence, empowering you to derive valuable insights and make data-driven decisions with confidence.
Note: While these prerequisites are recommended for optimal learning, the course is designed to cater to learners of varying levels. Even if you don't possess all of these prerequisites, you can still benefit from the course by actively engaging in the learning process and utilizing available resources.
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