Power BI A-Z

Course Materials:

Download the course materials here.

Description

Learn data visualization through Microsoft Power BI and create opportunities for yourself or key decision makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You’ll explore all of Power BI’s features that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Use Power BI to Analyze and Visualize Data So You Can Respond Accordingly:

Connect Power BI to a variety of datasets
Drill down and up in your visualizations and calculate data
Visualize data using various charts, plots, and maps
Convert raw data into compelling data visualizations using Power BI

Because every module in this course is independent, you can start with any section you prefer and progress at your own pace. Each section introduces a new dataset and exercises that challenge you to apply what you’ve just learned.

Course content is regularly updated as new versions of Power BI are released, so you can always revisit and sharpen your skills to stay ahead of the curve.

Contents and Overview

This course begins with Power BI basics. You’ll learn how to navigate the interface, connect to a data file, and export a worksheet—making it approachable for complete beginners.

To uncover trends and make accurate forecasts, you’ll work with hierarchies and time series data. You’ll also use aggregations to summarize information and apply granularity for precise calculations.

You’ll then dive into building data visualizations: creating charts, maps, scatterplots, and interactive dashboards. You’ll also learn how to join multiple data sources to build integrated analytical solutions.

Finally, you’ll explore advanced custom visuals in Power BI, including histograms, brick charts, and more.

By the end of the course, you’ll be a confident Power BI user, leveraging your skills as a data scientist to extract insights and answer complex business questions.

You’ll be fully prepared to collect, analyze, and present data—whether for scientific research or forecasting buying trends to increase profits.