Power BI Certification

4.17(6 Ratings)
Course Duration: 14h

About Course

The Power BI Training course is designed to provide participants with a comprehensive understanding of Microsoft Power BI, a powerful business intelligence (BI) tool. The course covers both basic and advanced concepts of Power BI, enabling participants to visualize and analyze data effectively, transform raw data into meaningful insights, and create interactive dashboards and reports. Participants will learn about the various components of Power BI, data visualization techniques, data modeling, and advanced features such as DAX expressions and deployment options. Additionally, the course explores the advantages of Power BI, its popularity, and its integration capabilities with other software applications. By the end of the course, participants will be equipped with the skills to leverage Power BI for data-driven decision-making and enhance organizational performance.
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What I will learn?

  • Gain a thorough understanding of Power BI's features and functionalities
  • Learn how to visualize and analyze data from various sources
  • Master data cleaning and manipulation techniques using Power Query Editor
  • Create interactive dashboards and reports with advanced visualizations
  • Understand data modeling concepts and implement row-level security
  • Use DAX expressions for complex calculations and measures
  • Learn about Power BI deployment options and dashboard sharing
  • Gain hands-on experience by connecting Power BI with real-time databases
  • Develop the skills to leverage Power BI for data-driven decision-making and business analytics

Course Curriculum

Basic Concepts
Introduction To Power BI History Of Power BI Difference Between BI & Data Science Power BI Architect Power BI Data source, Library Power BI AI Q & A Mobile Apps Components Of Power BI Advantages & Disadvantages Power BI Installation Power BI Service Data Visualization What is Power Query Editor Data Cleaning in Power Query Editor Managing Data relationship Connecting files in Power BI desktop Power View, Power Map Understanding Power BI report Visualizations Report Fields, Visuals, and UI options Navigation Option, Bookmarks Direct Query vs. Live

Advance Concepts
DAX Expressions and Calculations (Module 8): Delving into Data Analysis Expressions (DAX) for advanced calculations and measures. Exploring a wide range of DAX functions, syntax, and operators for complex analysis. Power BI Deployment and Sharing (Module 9): Understanding the process of validating and publishing Power BI reports. Utilizing Power BI accounts, workspaces, and dashboards for deployment and sharing. Implementing advanced features like dashboards and reports sharing with end-users. Real-Time Database Connectivity (Module 10): Establishing connections between Power BI and real-time databases for dynamic data integration. Managing deployment pipeline stages to ensure seamless integration of real-time data sources.

Target Audience

  • Data Analysts: Professionals responsible for collecting, analyzing, and interpreting data to drive business decisions and strategies.
  • Business Analysts: Individuals who analyze organizational data to understand trends, identify opportunities, and solve business challenges.
  • Data Scientists: Professionals with expertise in statistical analysis, machine learning, and data mining who use Power BI to extract insights from complex datasets.
  • BI Developers: Developers who design, implement, and maintain business intelligence solutions using Power BI to provide actionable insights to stakeholders.
  • IT Professionals: Individuals responsible for managing data infrastructure, databases, and software applications, including the implementation and administration of Power BI solutions.
  • Managers and Executives: Decision-makers who rely on data-driven insights to formulate strategies, monitor performance, and achieve organizational goals.
  • Students and Graduates: Those pursuing careers in data analysis, business intelligence, or related fields who seek to enhance their skills and employability.
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