Online Course
Power BI Data Visualization Hero

Unleash your data storytelling with Power BI Data Visualization Hero. This hands-on beginner course is your fast-track introduction to the world of business intelligence and dashboard design.

4.9

808 reviews on
832 students already enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

3 hours
  • Lessons (3 hours)

CPE credits:

3
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

  • How to navigate and use the Power BI interface with confidence
  • The fundamentals of data visualization
  • Which chart types to use (and avoid) for different types of analysis
  • How to build interactive dashboards from scratch
  • Common mistakes in visualizations—and how to fix them

Topics & tools

TheoryDashboard DesignData VisualizationDashboard ReportingPowerbiExcel

Your instructor

Course OVERVIEW

Description

CPE Credits: 3 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

You’ll learn how to turn raw data into clear and impactful visuals using Microsoft Power BI—no coding needed. Through real-world examples, interactive practice, and expert insights, you'll master the essentials: reporting fundamentals, charts fine-tuning, KPI cards design and creation, slicers, filters and interactions configuration, and how to put it all together step-by-step. No prior experience with Power BI is required—the first section will guide you through the main interface. Ideal for aspiring analysts, managers, sales specialists, office workers and anyone tired of spreadsheets and Excel tables—this course will help you build dashboards that speak for themselves.

Power BI Desktop is available for Windows but not for MacOS. If you’re using MacOS, you can use a virtual machine (VM) for Power BI Desktop on the Mac. Or if you have a corporate MS account, feel free to use the Power BI Web Version

Prerequisites

  • Basic understanding of Excel

Advanced preparation

  • None

Curriculum

34 lessons 12 exercises 1 exam
  • 1. Reporting Fundamentals
    27 min

    The first section is your guided entry point into Power BI Desktop, designed for those opening it for the first time. You’ll get familiar with the key interface elements, understand how it compares to tools like Excel and PowerPoint, and begin working with a practice dataset that’s used throughout the course.

    27 min

    The first section is your guided entry point into Power BI Desktop, designed for those opening it for the first time. You’ll get familiar with the key interface elements, understand how it compares to tools like Excel and PowerPoint, and begin working with a practice dataset that’s used throughout the course.

  • 2. Fine-tuning For Standard Charts
    25 min

    This section explores the real-world challenges of choosing the right charts—not just from theory, but in a way that resonates with your audience. You’ll learn how to balance best practices with user preferences and how to justify your visualization choices clearly and convincingly to both data-minded analysts and visually driven stakeholders.

    25 min

    This section explores the real-world challenges of choosing the right charts—not just from theory, but in a way that resonates with your audience. You’ll learn how to balance best practices with user preferences and how to justify your visualization choices clearly and convincingly to both data-minded analysts and visually driven stakeholders.

  • 3. KPI Cards
    34 min

    The KPI Cards section focuses on how to effectively display key performance indicators for immediate impact. You’ll learn the difference between business-defined KPIs and simple summary metrics, and how to design cards that clearly communicate the most important figures at a glance.

    34 min

    The KPI Cards section focuses on how to effectively display key performance indicators for immediate impact. You’ll learn the difference between business-defined KPIs and simple summary metrics, and how to design cards that clearly communicate the most important figures at a glance.

  • 4. Filters and Interactions
    28 min

    This section introduces one of Power BI’s most essential interactive tools—slicers. You’ll learn how to create and customize slicers to filter your visuals effectively, enhancing user control and making your dashboards truly interactive.

    28 min

    This section introduces one of Power BI’s most essential interactive tools—slicers. You’ll learn how to create and customize slicers to filter your visuals effectively, enhancing user control and making your dashboards truly interactive.

  • 5. Dashboard Design and Assembly
    38 min

    The last section of the course brings together all the core visuals—charts, cards, tables, and slicers—into one cohesive, interactive dashboard. You’ll explore the fundamentals of layout, composition, and design logic to ensure your reports are not just functional, but intuitive and impactful.

    38 min

    The last section of the course brings together all the core visuals—charts, cards, tables, and slicers—into one cohesive, interactive dashboard. You’ll explore the fundamentals of layout, composition, and design logic to ensure your reports are not just functional, but intuitive and impactful.

  • 6. Dashboard Assembly Video Guide
    21 min

    A video guide on assembling a dashboard: from setting up visuals to organizing the layout for clear and effective reporting. This section summarizes and walks you through all the steps you've learned to assemble your dashboard.

    21 min

    A video guide on assembling a dashboard: from setting up visuals to organizing the layout for clear and effective reporting. This section summarizes and walks you through all the steps you've learned to assemble your dashboard.

  • 7. Course exam
    18 min
    18 min

9 in 10

people walk away career-ready

with practical data and AI skills.

94%

of AI and data science graduates

successfully change

or advance their careers.

$29,000

average salary increase

after moving to an AI and data science career

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice exams
  • AI mock interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice exams

Track your progress and solidify your knowledge with regular practice exams.

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AI mock interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.