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  3. Microsoft Power BI: Data Analysis & AI Dashboards (2025)
Microsoft Power BI: Data Analysis & AI Dashboards (2025)
Business

17 February, 2025

Master Power BI: Power-Packed Data Prep, Analysis, Visualization & Dashboard Mastery w/ Top Instructor

$89.00FREE

Microsoft Power BI: Data Analysis & AI Dashboards (2025)

Learn to turn raw data into powerful insights with our comprehensive Microsoft Power BI course, designed for data professionals and aspiring data analysts. This hands-on training covers every aspect of Power BI, from data transformation and advanced DAX calculations to sophisticated dashboard creation and AI-driven analytics.

Throughout the course, you will:

  • Set Up and Navigate Power BI: Learn to configure Power BI Desktop, navigating its interface, and connecting to a variety of data sources to streamline your data analysis workflow.

  • Data Preparation and Transformation: Utilize Power Query to clean, transform, and prepare your data, ensuring high-quality, analysis-ready datasets for accurate insights.

  • Advanced Data Modeling: Develop robust data models by establishing relationships between datasets, enabling comprehensive and integrated analysis across multiple data sources.

  • Master DAX for Complex Calculations: Apply advanced Data Analysis Expressions (DAX) to perform intricate calculations, enhancing your ability to derive meaningful insights from your data.

  • Create Interactive Visualizations and Dashboards: Design and build dynamic reports using a wide range of visualizations, including charts, graphs, maps, and custom visuals, to effectively communicate your findings.

  • Leverage AI Tools for Enhanced Analytics: Incorporate Power BI’s artificial intelligence features, such as predictive analytics and anomaly detection, to uncover deeper insights and drive data-driven decision-making.

  • Real-World Projects and Practical Applications: Engage in hands-on projects that simulate real business scenarios, including developing dashboards for HR analytics, project management, and customer insights, ensuring you can apply your skills in any professional setting.

Learning Outcomes

By the end of this course, you will be able to:

  • Configure and navigate the Power BI Desktop interface, connecting to diverse data sources for seamless integration.

  • Clean and transform data using Power Query to create analysis-ready datasets.

  • Build and manage data models with established relationships for unified analysis.

  • Utilize advanced DAX functions to perform complex calculations and enhance data analysis capabilities.

  • Design and develop interactive visualizations and dashboards that effectively communicate business insights.

  • Implement Power BI’s AI tools for predictive analytics and anomaly detection to gain deeper insights.

  • Create tailored reports and dashboards for various business scenarios, including HR analytics and project management.

  • Develop and monitor KPIs and dynamic measures to track and assess business performance.

  • Apply best practices in data visualization and dashboard design to support data-driven decision-making.

Career Growth with Power BI

The business intelligence market is projected to reach $33.3 billion by 2025, highlighting the increasing demand for skilled professionals in this field. By mastering Microsoft Power BI, you position yourself at the forefront of data analysis and business intelligence expertise. This course equips you with advanced DAX functions, robust data modeling techniques, and AI-driven analytics, enabling you to create insightful visualizations and dynamic dashboards. Whether you're aiming to advance in your current role or transition into a data-focused career, the competencies gained from this course will empower you to make strategic, data-informed decisions and achieve competitive salaries in a rapidly expanding industry.


Affiliate disclosure: Course Kingdom participates in affiliate programmes (including Udemy via the Cuelinks network). Some links on this page are affiliate links — if you click and enroll, we may earn a small commission at no extra cost to you. Learn more.

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