Easy Learning with Advanced Skill Test: Power BI Data Analyst Exam (PL 300)
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Language: English

Power BI Data Analyst Certification: Master PL-300 Exam

What you will learn:

  • Connect to various data sources (Excel, SQL databases, web sources, cloud platforms)
  • Clean and transform data using Power Query Editor
  • Build robust data models with relationships and hierarchies
  • Master DAX (Data Analysis Expressions) for calculated columns, measures, and advanced analysis
  • Create interactive and engaging visualizations (charts, tables, gauges, slicers)
  • Design and deploy visually appealing and informative reports
  • Optimize report performance for large datasets
  • Understand deployment strategies and report sharing
  • Master Power BI workspaces for collaboration and organization
  • Configure data refresh schedules and row-level security
  • Monitor report performance and usage metrics

Description

Unlock the potential of data analysis and become a certified Power BI Data Analyst! This comprehensive course prepares you for the Microsoft PL-300 exam, equipping you with the skills to master Power BI and transform raw data into impactful insights.

From connecting to various data sources and building robust data models to creating dynamic visualizations and dashboards, this course covers all the essentials for successful data analysis. You'll gain hands-on experience with Power Query Editor, DAX, and Power BI Desktop, while learning best practices for data visualization, report design, and deployment.

Whether you're a data analyst seeking certification, a BI professional looking to advance your skills, or a business leader aiming to make data-driven decisions, this course provides the knowledge and practical experience you need to succeed.

Join us today and take your data analysis skills to the next level!

Curriculum

Practice Tests

This section offers a series of comprehensive practice tests designed to simulate the actual PL-300 exam environment. These tests will help you reinforce your learning, identify areas for improvement, and build confidence before tackling the real exam. Each practice test covers a wide range of topics, including data preparation, data modeling, data visualization, and deployment, allowing you to assess your understanding and refine your problem-solving skills.