Power BI is a business intelligence and data visualization tool developed by Microsoft. The Power BI Free learning path offers a comprehensive and cost-effective way to learn how to use Power BI and gain valuable skills in data analysis, reporting, and visualization. This learning path provides access to a variety of resources, including tutorials, video courses, and hands-on exercises to help you master the tool and become proficient in data-driven decision-making. Whether you’re a beginner or looking to enhance your existing skills, Power BI Free learning path is a valuable investment for your professional development and growth.

Prepare the Data (15-20%)

1. Get data from different data sources

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2. Clean, transform, and load the data

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Model the Data (30—35%)

1. Design a data model

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2. Double-click this headline to edit the text.

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3. Create model calculations by using DAX

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4. Optimize model performance

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Visualize and Analyze the Data (25—30%)

1. Create reports

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2. Create dashboards

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3. Enhance reports for usability and storytelling

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4. Identify patterns and trends

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Deploy and Maintain Assets (20—25%)

1. Manage files and datasets

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2. Manage workspaces

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Microsoft Provided Exam Ready Zone Episodes

Preparing for the PL-300 certification involves mastering four key components: preparing the data, modeling the data, visualizing and analyzing the data, and deploying and maintaining assets. In the first step, preparing the data, one needs to acquire and clean data, making it ready for modeling and analysis. In the second step, modeling the data, one needs to develop a data model that is suitable for the analysis and reporting requirements. In the third step, visualizing and analyzing the data, one needs to create visualizations and perform analysis to uncover insights from the data. Finally, in the fourth step, deploying and maintaining assets, one needs to deploy the data model and visualizations in a production environment and ensure their performance and security.

Preparing for PL-300 – Prepare the Data (1 of 4)

Preparing for PL-300 – Model the Data (2 of 4)

Preparing for PL-300 – Visualize and Analyze the Data (3 of 4)

Preparing for PL-300 – Deploy and Maintain Assets (4 of 4)