This course is designed to provide a comprehensive foundation in Power Query and Power BI, equipping learners with the skills to transform, analyze, and visualize data efficiently. Participants will begin by exploring Power Query text and number functions, understanding key transformations such as formatting, merging, extracting, and statistical operations to structure raw data effectively.

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Power BI: Data Secure, Governance, and Workspace Management
This course is part of Exam Prep PL-300: Microsoft Power BI Data Analyst Associate Specialization

Instructor: Whizlabs Instructor
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June 2025
5 assignments
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There are 2 modules in this course
This module provides a practical foundation in Power Query transformations and column management, empowering learners to clean, shape, and enrich data effectively before visualization. Participants will explore essential text functions such as formatting, merging, and extracting, as well as number functions for standard, scientific, and statistical operations. The module also introduces custom and conditional columns, which allow for tailored logic to be applied directly in the data preparation layer. Additional techniques such as indexing and duplicating columns will help optimize data structure for downstream reporting. By the end of this module, learners will gain hands-on expertise in preparing high-quality, analysis-ready datasets that integrate seamlessly into Power BI reports.
What's included
11 videos2 readings2 assignments1 discussion prompt
This module equips learners with the knowledge and skills to build secure, structured, and insightful Power BI solutions. Starting with transforming semi-structured data into tables using Power Query, learners will create normalized data models with fact and dimension tables. The module then focuses on data governance, including configuring item-level access, workspace roles, row-level security, and sensitivity labels to ensure secure report sharing. Participants will learn to design impactful dashboards and reports, understand the difference between the two, and explore Power BI’s Quick Insights feature for automated analysis. Additionally, learners will explore semantic model modes and how to check and optimize them for performance. This comprehensive module concludes with exam tips and a course wrap-up to reinforce key concepts and best practices.
What's included
13 videos2 readings3 assignments1 discussion prompt
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