Microsoft Power BI Data Analyst Associate PL-300
About this course
173 real test questions, including case studies, select and place, build and reorder.This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets. The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this exam should be proficient using Power Query and writing expressions by using DAX.Skills measured:Prepare the data (15-20%)Model the data (30-35%)Visualize and analyze the data (30-35%)Deploy and maintain assets (10-15%)Explore Power Query as you learn to extract data from different data sources and choose a storage mode and connectivity type. You will learn to profile, clean, and load data into Power BI in preparation for modeling your data. Success with Power BI begins with a great data model. Using DAX language will help you create a wide variety of analytic solutions. Power BI has extraordinary visuals that can be used on Power BI reports and dashboards. Dashboards will help your users target report visuals to meet their specific needs.Data analysts enable businesses to maximize the value of their data assets by using Microsoft Power BI. As subject matter experts, data analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualiza
69/100
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- Who stands behind it
- 8/35
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- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- prepare data for analysis
- model data using Power BI
- create visualizations
- deploy and maintain Power BI assets
- use Power Query for data extraction
- apply DAX for analytics solutions
Course objectives
- ensure proficiency in using Power Query
- develop skills in modeling data with Power BI
- create dynamic visual reports and dashboards
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