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Introduction to Power BI Course

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Course Overview

The “Introduction to Power BI” course is designed to equip learners with the skills needed to analyze data and extract meaningful insights using Microsoft Power BI. his comprehensive course is ideal for anyone looking to master data visualization and analytics through Power BI.

Course Prerequisites

To ensure that you have the best learning experience in the Introduction to Power BI course, the following prerequisites are recommended:

  • Familiarity with Microsoft Windows and basic navigation of the operating system.
  • Basic understanding of data concepts, such as data processes, databases, and data structures.
  • Experience with Excel is beneficial, particularly knowledge of formulas, and creating charts and tables.
  • A willingness to learn about data analysis and visualization concepts.

Please note that these are only the minimum prerequisites and having additional experience in data analysis or related fields can enhance your learning experience. However, the course is designed to be accessible even if you have limited prior knowledge in these areas.

Learning Objectives – What you will Learn in this Introduction to Power BI?

Introduction to Course Learning Outcomes and Concepts Covered:

This Power BI course equips learners with foundational knowledge in data analysis, utilizing Power BI to create impactful reports and dashboards to drive business insights.

Learning Objectives and Outcomes:

  • Understand the fundamentals of data analysis and the various roles involved, including tasks specific to data analysts.
  • Gain proficiency in using Power BI to transform raw data into compelling visualizations and interactive reports.
  • Comprehend the building blocks of Power BI, including datasets, reports, dashboards, and tiles to create cohesive analytics solutions.
  • Navigate and utilize the Power BI service effectively, understanding how to leverage its features for data-driven decision-making.
  • Learn how to clean, transform, and enrich data using Power BI tools, including the utilization of AI Insights for identifying trends and anomalies.
  • Develop skills to construct basic dashboards that clearly communicate data insights and demonstrate the business value of Power BI.
  • Explore the full capabilities of Power BI, including the ability to collaborate, share, and use various content as a consumer within the Power BI service.
  • Master the process of importing data from diverse sources such as files, relational databases, NoSQL databases, online services, and Azure Analysis Services.
  • Understand the principles of choosing the appropriate storage mode and how to resolve common data import and performance issues.
  • Formulate a personal action plan to continue developing Power BI skills and apply learned concepts to real-world business scenarios.

Target Audiance

  • Data Analysts
  • Business Intelligence Professionals
  • Data Scientists
  • Business Analysts
  • IT Professionals
  • Project Managers
  • Report Developers
  • Data Engineers
  • Marketing Analysts
  • Financial Analysts
  • Business Executives
  • Operations Managers
  • Strategy Professionals
  • Data Consultants
  • BI and Reporting Team Members
  • Professionals interested in data visualization and analytics

Schedule Dates

Introduction to Power BI Course
22 July 2024
Introduction to Power BI Course
22 October 2024
Introduction to Power BI Course
22 January 2025
Introduction to Power BI Course
22 April 2025

Course Content

  • The course begins with Module 1, where participants are introduced to the basics of data analysis, the roles involved, and the tasks of a data analyst.

  • Module 2 delves into the practical aspects of using Power BI, including its building blocks and service navigation.

  • As learners progress to Module 3, they explore Power BI's capabilities, such as building data-driven analytics, cleaning and transforming data, and leveraging AI insights. They also learn to construct a basic dashboard and understand Power BI's business value.

  • Module 4 focuses on the consumer side, teaching how to interact with dashboards, reports, and collaborate within the Power BI service.

  • Module 5 is all about data acquisition, covering a range of sources from files and databases to online services and Azure Analysis Services, while addressing performance and import issues.

  • The course concludes with Module 6, summarizing the lessons and guiding students on their next steps and personal action plan.



Yes, course requiring practical include hands-on labs.

You will receive the letter of course attendance post training completion via learning enhancement tool after registration.

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