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
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.