PL-300 Introduction

This course will help you prepare for the PL-300: Microsoft Power BI Data Analyst exam and give you a broad and deep understanding of Power BI's functionality and use cases.

Learning Objectives

• How to pull data from different sources
• How Power BI's storage modes suit different scenarios
• How data model design can impact performance
• Optimizations to make a data model fast and efficient
• How to use DAX formulas to add functionality to data models and reports
• How to make reports dynamic and compelling enabling end-users to provide feedback to the report designer
• Explore the analytical and statistical functionality that enables users to tease out significant insights from data
• Examine what's involved in publishing and maintaining data sets and reports online

Intended Audience

• Anyone preparing for the PL-300: Microsoft Power BI Data Analyst exam
• Anyone who wants to become a Power BI data analyst

Prerequisites

• Basic knowledge of statistical concepts
• Basic knowledge of datasets and data relationships