Audience:

This course is ideal for professionals who want to build practical, beginner‑level skills in using data and Power BI to support clearer, more informed decision‑making.

Duration: 1 Day

Delivery: Virtual (2 half day) or in-person (1 full day)

Course description:

Through step‑by‑step demonstrations and hands‑on exercises, learners will discover how to connect to diverse data sources, clean and prepare data, build impactful visualizations, and share their findings. The course focuses on practical application, helping participants turn raw information into meaningful stories that support strategic decisions.

Whether you’re new to working with data or looking to strengthen your visualization skills, this course provides the tools you need to explore and interpret your data with confidence.

All participants need to have Power BI desktop downloaded to their computer

Course overview:

  • Introduced to the basic concepts of Power BI including a high-level overview of the Power BI environment and infrastructure

  • Learn the importance of data preparation and cleaning

  • Import and manipulate data to create your first basic data model

  • Eenrich your data using calculated columns and measures using DAX

  • Introduction to basic visualizations using the built in Power BI charts, graphs and tables

  • Understand how Power BI filters data to get you the answers that you need

  • Add additional structure to your data with hierarchies, groups and custom sorting

  • Learn how to manipulate and perform basic data transformations in Power Query

By the end of this course, participants will be able to:

  • Confidently navigate the Power BI interface and understand the core components of the Power BI environment

  • Import data from multiple sources and perform essential data cleaning and preparation

  • Build a basic data model using relationships

  • Create simple DAX calculated columns, and measures

  • Create clear, effective visualizations using built‑in charts, graphs, and tables

  • Apply filters, slicers, and interactions to explore data and answer key business questions

  • Organize data using hierarchies, groups, and custom sorting to improve report usability

  • Perform foundational data transformations in Power Query to shape and refine datasets

  • Publish and share reports to support informed, data‑driven decision‑making across their organization

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Storytelling with Data