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PL-300: Microsoft Power BI Data Analyst

3 Days

RM 3,220 (before SST)

Remark:

  • Including labs & exams

  • Private in-house training applicable start from a minimum 5 pax up to maximum 25 pax per session.

PL-300: Microsoft Power BI Data Analyst

This intensive 3-day Microsoft Power BI Data Analyst course delivers the complete skillset needed to become a proficient data analyst using Power BI. Designed for data professionals with cloud experience, the training follows the end-to-end analytics workflow that analysts encounter in real-world scenarios.


The course begins with foundational concepts, exploring data analysis principles and Power BI basics before diving into practical data acquisition techniques from diverse sources like Excel, SQL Server, and NoSQL databases. You'll master Power Query for data cleaning and transformation, learning to resolve inconsistencies, apply transformations, and optimize your data preparation processes.


Data modeling receives significant focus, with instruction on creating efficient star schemas, establishing proper relationships, and implementing DAX (Data Analysis Expressions) for calculations and measures. Performance optimization techniques ensure your models remain responsive even with large datasets.


The visualization modules teach you to select and format the most effective visuals, create interactive reports with navigation features, and build executive dashboards that convey insights clearly. Advanced analytics capabilities are covered extensively, including statistical analysis, outlier detection, time series analysis, and AI-powered visualizations that uncover hidden patterns.


For enterprise deployment, you'll learn workspace management, dataset sharing, scheduling refreshes, implementing row-level security, and establishing governance practices for collaborative environments.


Upon completion, you'll be equipped to transform raw data into actionable insights through the entire analytics lifecycle. These skills translate to immediate workplace productivity through faster report creation, more insightful analysis, automated refreshes, and the ability to clearly communicate findings to stakeholders through interactive visualizations and dashboards.

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