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Syn-MS-PL-300 - PL-300: Power BI Data Analyst Associate

Dates to be announced soon

Course is designed for Azure AI Developer


Solutions
Certifications
Practice Area
Data Analytics & AI

Course Overview

As a candidate for this exam, you should deliver actionable insights by working with available data and applying domain expertise. You should:

Provide meaningful business value through easy-to-comprehend data visualizations.

Enable others to perform self-service analytics.

Deploy and configure solutions for consumption.

As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to:

Transform the data.

Create data models.

Visualize data.

Share assets.

You should be proficient at using Power Query and writing expressions by using Data Analysis Expressions (DAX). You know how to assess data quality. Plus, you understand data security, including row-level security and data sensitivity.


Prerequisites

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics

To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.


Other Details

Why Choose AI 102 Certification Training?

  • Certified Expert: Earn an industry-recognized certification to validate your AI skills.
  • Hands-On Experience: Gain practical experience through hands-on projects and exercises.
  • Expert Instructors: Learn from AI professionals with years of industry experience.
  • Flexible Learning: Study at your own pace with 24/7 access to course materials.
  • Networking Opportunities: Connect with a vibrant community of AI enthusiasts and experts.
  • Career Advancement: Boost your career prospects and stand out in the AI job market.