Online Course free
Building Business Reports Using Power BI

Leverage Power BI to the fullest: Master the art of creating interactive, useful, and informative business reports in Power BI

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  • 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:

Intermediate

Duration:

2 hours
  • Lessons (2 hours)

CPE credits:

2.5
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

  • Leverage Power Query and DAX to build professional business reports.
  • Interact dynamically with data using diverse chart types.
  • Create a well-formatted, interactive dashboard from scratch.
  • Select and highlight KPIs that matter to decision-makers.
  • Work on a capstone project to enhance your data analyst portfolio.

Topics & tools

reportingpower bibusiness intelligencekpisdashboard designdata modelingdata visualizationdashboard reportingpowerbi

Your instructor

Course OVERVIEW

Description

CPE Credits: 2.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
In this course, we put some meat on the bones and introduce data visualizations. After all, the main reason why you use Power Query, data modeling, DAX, and Power BI is to create meaningful business reports. In this course, you will learn how to create reports using features, such as shapes, slicers, maps, matrix tables, charts, the interactive tooltip, bookmarks, and more. By the end of the course, you will be able to create a beautiful, interactive dashboard from scratch.

Prerequisites

  • Microsoft Power BI Desktop (free version available at powerbi.microsoft.com)
  • Completion of an introductory Power BI course is required.
  • Using simple DAX is required.

Advanced preparation

Curriculum

16 lessons 1 exam

Free preview

Course intro

1.1 Course intro

1 min

Power BI Canvas

1.2 Power BI Canvas

6 min

Drawing Shapes

1.3 Drawing Shapes

13 min

Slicers

1.4 Slicers

16 min

Filled Map

1.5 Filled Map

8 min

Matrix Table

1.6 Matrix Table

13 min

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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
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.