Power BI for Data Analysis and Reporting

Course code:27-SS-150
Dates:October 21, 2026 Alternate Course Dates
Meets:W from 9:00 AM to 4:00 PM
Hours:6.00
Location:VCU Academic Learning Commons 4110
Instructor:Rosemary McCracken
Fee: $275.00

Description

This introductory course provides a foundational understanding of how to use Power BI to create interactive reports that support effective analysis and communication. In today’s data-driven workplace, the ability to transform data into clear, actionable insights is a critical skill for professionals across industries.

Through hands-on exercises and real-world applications, participants will connect to data sources, transform data, and build visually engaging reports. The course focuses on practical techniques that can be immediately applied to organize data, uncover insights, and communicate information effectively to stakeholders.

Recommended Sequence: This course serves as the starting point for the Power BI learning pathway and is recommended for individuals who are new to Power BI.

Key Topics
  • Introducing the Power BI interface and data connectivity options
  • Exploring data transformation using Power Query Editor
  • Appending and merging queries
  • Introducing Quick Measures for simple calculations
  • Reviewing foundational concepts in data modeling
  • Examining core visualization and report design features

Learning Outcomes
By the end of this course, participants will be able to:
  • Import and transform data into analysis-ready formats
  • Build basic data models to organize and connect data effectively
  • Create interactive visualizations that make insights easy to understand
  • Implement different types of filters and slicers in a report
  • Design reports that clearly communicate key information to stakeholders Publish and share reports to improve collaboration and access to data

Who Should Enroll
This course is ideal for professionals who are new to Power BI and want to build foundational data analysis and reporting skills, including:
  • Individuals transitioning from Excel-based reporting to more dynamic, interactive dashboards
  • Business professionals, analysts, and administrative staff responsible for reporting and data visualization
  • Professionals looking to improve how they analyze and present data to support decision-making

Digital Badge
Participants who successfully complete this course will have the opportunity to earn a digital badge that can be shared on LinkedIn and other professional platforms. To earn the badge, participants must attend the full session, actively participate, and successfully complete a course-based activity demonstrating application of key concepts.

Notes

Registration Deadline: Early Registration ends September 21, 2026. Registrations will be accepted through October 19, 2026
Cancellation/Refund Policy: You may cancel your registration up until 7 days prior to the course start date (or specific date inserted), and receive a full refund minus any credit card processing fees. Cancellations must be received via email at ocpe@vcu.edu
In the unlikely event that this program is canceled or postponed due to insufficient enrollments or unforeseen circumstances, the university will fully refund registration fees, but cannot be held responsible for any other expenses, including change or cancellation charges to include but not limited to airlines, hotels, travel agencies, or other organizations.
Student/Participant Conduct:
Participants are subject to all university policies applicable to students, unless a specific university or VCU Continuing and Professional Education policy explicitly states otherwise. University policies governing students are available at https://vcu.public.doctract.com including:
Student Code of Conduct
Honor System and Standards of Academic Conduct
Preventing and Responding to Discrimination
Title IX Sexual Harassment Policy-Interim
Sex-Based Misconduct Policy-Interim
For Academic Accommodations, please visit https://ocpe.vcu.edu/courses/policies.html#accommodations

There are still openings remaining at this time.

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