Microsoft Power BI Data Analyst PL300 Certification 2025
About this course
Microsoft Power BI Data Analyst PL300 Test ExamAudience profileCandidates for this exam deliver actionable insights by working with available data and applying domain expertise. They provide meaningful business value through easy-to-comprehend data visualizations, enable others to perform self-service analytics, and deploy and configure solutions for consumption.The Power BI data analyst works closely with business stakeholders to identify business requirements. They collaborate with enterprise data analysts and data engineers to identify and acquire data. They also transform the data, create data models, visualize data, and share assets by using Power BI.Candidates for this exam should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). These professionals know how to assess data quality. Plus, they understand data security, including row-level security and data sensitivity.• Prepare the data (25–30%)• Model the data (25–30%)• Visualize and analyze the data (25–30%)Deploy and maintain assets (15–20%)Prepare the data (25–30%)Get data from data sources • Identify and connect to a data source • Change data source settings, including credentials, privacy levels, and data source locations • Select a shared dataset, or create a local dataset • Choose between DirectQuery, Import, and Dual mode • Change the value in a parameter Clean the data • Evaluate data, including data statistics and column properties • Resolve inconsistencies, unexpected or null values, and data quality issues • Resolve data import errors Transform and load the data • Select appropriate column data types • Create and transform columns • Transform a query • Design a star
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What you'll learn
- data preparation
- data modeling
- data visualization
- using Power Query
- writing DAX expressions
- assessing data quality
- understanding data security
Course objectives
- prepare data from various sources
- clean and transform data
- visualize and analyze data
- deploy and maintain Power BI assets
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