Course Overview

Become a certified Power BI Data Analyst with our comprehensive training at TBC.

Whether you’re a data analyst looking to enhance your visualization skills, a business professional aiming to make data-driven decisions, or anyone interested in mastering Power BI, this course is for you.

Our ‘Power BI Data Analyst Associate’ course covers the fundamentals of Power BI, including data modeling, visualization techniques, and creating interactive dashboards. You’ll gain hands-on experience and the expertise needed to pass the certification exam.

Completing this course not only elevates your data analysis capabilities but also adds a sought-after credential to your resume. Imagine being the go-to expert for data visualization in your organization, driving insights and making impactful decisions.

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Course Breakdown

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

  1. Develop data models.
  2. Create, edit, and share reports and dashboards.
  3. Extract, transform, and load data.
  4. Provide meaningful business value through easy-to-comprehend data visualizations.
  5. Deploy and configure solutions for consumption.
  6. Enable others to perform self-service analytics.
  • Identify how to get data from different sources and how to clean, transform, and load data into Power BI where it can be analyzed.
  • Get familiar with the Power Query Editor, the M language that underlies transformations, and various topics relating to data quality.
  • You will learn how to model the data efficiently in Power BI Desktop, design and develop a comprehensive Data Model with relationships, use LOOKUP functions in Power Query Editor for data retrieval, and employ DAX expressions for additional data manipulation and calculations.
  • You will also optimize the model’s performance to enhance efficiency and responsiveness
  • You will create reports with a variety of elements like standard and custom visuals, slicers, conditional formatting, and other page components such as images, shapes, text boxes, and buttons.
  • You will also refine reports with features like sort orders, drill-down controls, interactions between visuals, bookmarks, tooltips, and considerations for designing reports for mobile viewing. You will finally explore advanced analysis techniques including outlier identification, categorization, grouping, binning, clustering, and the use of AI-driven visualization.
  • You will learn how to deploy and maintain assets, manage files and datasets, publish and update reports on the service, create and edit dashboards, stream data, and manage workspaces within the service environment.
  • These activities encompass the lifecycle of data management and visualization to improve resource allocation to reduce costs and boost efficiency.