Power BI Data Analyst Training Course (PL-300)

Course 8574

  • Duration: 3 days
  • Language: English
  • Level: Intermediate

This Power BI Data Analyst Training Course will discuss the various methods and best practices that align with business and technical requirements for modeling, visualising, and analysing data with Power BI. The course will also show how to access and process data from various sources, including relational and non-relational data.

This course will also explore how to implement proper security standards and policies across the Power BI spectrum, including datasets and groups. Finally, the course will also discuss managing and deploying reports and dashboards for sharing and content distribution.

Power BI Data Analyst Training Course Delivery Methods

  • In-Person

  • Online

Power BI Data Analyst Training Course Information

In this course, you will:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets

Training Prerequisites

Students don’t need to have any experience with Power BI before taking this course; however, students should have a fundamental understanding of core data concepts, knowledge of working with relational data in the cloud, knowledge of working with non-relational data in the cloud, and knowledge of data analysis and visualisation concepts.

Additionally, a basic level of familiarity with computer technology, cloud computing, and the Internet is assumed.

Certification Information

This course helps you prepare for Exam PL-300: Microsoft Power BI Data Analyst.

Power BI Data Analyst Training Course Outline

Explore the different roles in the data space, outline the important roles and responsibilities of a Data Analyst, and then explore the landscape of the Power BI portfolio.

  • Explore the different roles in data
  • Identify the tasks that are performed by a data analyst
  • Describe the Power BI landscape of products and services
  • Use the Power BI service 

Explore identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.

  • Identify and retrieve data from different data sources
  • Understand the connection methods and their performance implications
  • Use Microsoft Dataverse
  • Connect to a data flow 

Understand the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.

  • Apply data shape transformations
  • Enhance the structure of the data
  • Profile and examine the data 

Fundamental concepts of designing and developing a data model for proper performance and scalability. Understand and tackle many of the common data modeling issues, including relationships, security, and performance.

  • Understand the basics of data modeling
  • Define relationships and their cardinality
  • Implement Dimensions and Hierarchies 

Introduce you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.

  • Understand DAX
  • Use DAX for simple formulas and expressions
  • Create calculated tables and measures 
  • Build simple measures
  • Work with Time Intelligence and Key Performance Indicators 

Explore steps, processes, concepts, and data modeling best practices necessary to optimise a data model for enterprise-level performance.

  • Understand the importance of variables
  • Enhance the data model
  • Optimise the storage model 

The fundamental concepts and principles of designing and building a report include selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The vital topic of designing for accessibility is also covered.

  • Design a report page layout
  • Select and add effective visualisations
  • Add basic report functionality
  • Add report navigation and interactions 

Apply additional features to enhance the report for analytical insights into the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and more meaningful data insights.

  • Use the Analyse feature
  • Identify outliers in data
  • Use AI visuals
  • Use the Advanced Analytics custom visual 

Explore Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.

  • Create and manage a workspace
  • Understand workspace collaboration
  • Monitor workspace usage and performance
  • Distribute an App 

Learn parameters and datasets. You will also learn how to manage datasets and parameters, build dynamic reports with parameters, and set dataset refresh options.

  • Manage datasets and parameters
  • Build dynamic reports with parameters
  • Schedule dataset refresh
  • Troubleshoot gateway service connectivity 

Learn how to tell a compelling story using dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.

  • Create a Dashboard
  • Understand real-time Dashboards
  • Enhance Dashboard usability 

Discover how to secure your reports and other Power BI assets with row-level security, including leveraging Active Directory.

  • Implement row-level security using both the Static and Dynamic methods 

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Power BI Training FAQs

Yes, this course is a requirement to be Microsoft Certified: Data Analyst Associate.

This course utilises SQL Server/PowerBI.

The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualise data from the data platform technologies that exist both in the cloud and on-premises.

Successful Data Analysts start this role with experience in working with data in the cloud. Specifically:

  • Understanding core data concepts
  • Knowledge of working with relational data in the cloud
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of data analysis and visualisation concepts

Yes, the Microsoft DA-100 Certification replaced the Microsoft 20778 certification, and the Learning Tree course 8574: Analysing Data with Power BI Training (DA-100) replaced the Learning Tree course 8430: Analysing Data with Power BI Training (20778)

Yes! On February 28, 2022, the Microsoft Certified: Data Analyst Associate certification was renamed to Microsoft Certified: Power BI Data Analyst Associate (PL-300) and with that, we updated our Power BI Data Analyst Training Course (PL-300) as well.

The PL-300, Microsoft Certified: Power BI Data Analyst Associate, is focused on skills in preparing, modeling, visualising, and analysing data to maximise value for an organisation.