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PL-300 Exam Prep: Power BI Data Analyst Associate

Intermediate
Up to 20h 54m
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Training content

19
12
1
COURSE
Beginner
Duration: 1 minute and 22 seconds
PL-300 Introduction
This course will help you prepare for the PL-300: Microsoft Power BI Data Analyst exam.
COURSE
Beginner
Duration: 40 minutes and 43 seconds
Introduction to Power BI
This Lesson gives you a solid foundation to begin your Power BI journey. Learn to use this powerful business intelligence solution from the ground up.
EXAM
Duration: Up to 30 minutes
Knowledge Check: Introduction to Power BI
Knowledge Check: Introduction to Power BI
COURSE
Intermediate
Duration: 40 minutes and 16 seconds
Loading Data into Power BI
This Lesson explores how to load data into Power BI, how to optimise functionality and size by using data profiling, and how to resolve errors, empties, and data inconsistencies in Power Query.
EXAM
Duration: Up to 25 minutes
Knowledge Check: Loading Data into Power BI
Knowledge Check: Loading Data into Power BI
HANDS-ON LAB
Beginner
Duration: Up to 4 hours
Power BI Desktop Playground
In this hands-on lab playground, you'll have the opportunity to play around with the PowerBI Desktop application and build queries, data models, and visualize data using reports.
COURSE
Intermediate
Duration: 48 minutes and 7 seconds
Getting Data into Power BI from Different Sources
This Power BI lesson looks at connecting to data sources on-premise, in the Azure cloud, and Power platform data sources.
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This Course is designed to help you prepare for the PL-300 (DA-100) Power BI Data Analyst Associate exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you get started on your way to becoming a Power BI Data Analyst.    

The PL-300 exam is part of Microsoft’s new role-based certification program and is required to gain the Power BI Data Analyst Associate certification. PL-300 replaces DA-100 Analyzing Data with Microsoft.

Learning Objectives

  • Efficiently import data from multiple sources into the appropriate storage mode
  • Define tables, measures, and calculated columns to create an optimized data model
  • Create reports with interactive dynamic functionality for desktop and mobile platforms
  • Use Power BI's AI based analysis tools to identify key factors responsible for trends and anomalies
  • Deploy and configure reports and datasets in a production environment

Intended Audience

  • People who want to become a Power BI data analyst
  • People preparing for Microsoft’s PL-300 (DA-100) exam   

Prerequisites

  • Basic knowledge of statistical concepts
  • Basic knowledge  datasets and data relationships
Your certificate for this learning path

About the Author

Avatar
Hallam Webber, opens in a new tab
Software Architect
Students
27,379
Courses
85
Learning paths
17

Hallam is a software architect with over 20 years experience across a wide range of industries. He began his software career as a  Delphi/Interbase disciple but changed his allegiance to Microsoft with its deep and broad ecosystem. While Hallam has designed and crafted custom software utilizing web, mobile and desktop technologies, good quality reliable data is the key to a successful solution. The challenge of quickly turning data into useful information for digestion by humans and machines has led Hallam to specialize in database design and process automation. Showing customers how leverage new technology to change and improve their business processes is one of the key drivers keeping Hallam coming back to the keyboard. 

Covered Topics

Big Data
Analytics
Microsoft Azure
Analytics for Azure
Microsoft Power BI