PL-300 : Microsoft Power BI Data Analyst

In this PL-300 course, you will learn about, and apply, the various methods and best practices that are in line with business and technical requirements for ingesting, modeling, visualizing, and analyzing data.

You will also learn about the management aspects of Power BI, including workspaces and datasets, and then learn how to share, distribute, and appropriately secure Power BI assets.

This course will provide fundamental knowledge, including beginner to advanced level information and topics, on proper data analysis with Power BI. The course can be taken as a step in learning about roles in cloud data services and Microsoft Azure such as Data Engineer or Data Scientist, before taking further Microsoft Azure or Microsoft cloud services courses.

Upon completion of this course and practicing building solutions, we encourage you to get certified on PL-300 Certification Exam.

Microsoft Courseware

Instructor-Led Training

Course Duration: 4-Days (32-Hour)

Microsoft Official Lab Exercises

Courseware Life Time Free Upgrade

Cloud Lab Access


This course will cover general data ingestion and data cleansing processes as well as proper and important data model and visualization steps, touching on topics including performance, scalability, and best practices. The course will then cover the concept of pure data analysis using the tools and visuals available within Power BI.It will also cover core maintenance and administrative topics including security, asset management, and data refresh scenarios.


Module 1: Getting Started with Microsoft Data Analytics

This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data analyst, and then explores the landscape of the Power BI portfolio.

  • Data analytics and Microsoft
  • Getting Started with Power BI

Module 2: Get Data in Power BI

This module explores 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.

  • Get Data from Various Data Sources
  • Optimize Performance
  • Resolve Data Errors
  • Lab: Prepare Data in Power BI Desktop

Module 3: Clean, Transform, and Load Data in Power BI

This module teaches you 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.

  • Data Shaping
  • Data Profiling
  • Enhance the Data Structure
  • Lab: Load Data in Power BI Desktop

Module 4: Design a Data Model in Power BI

This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.

  • Introduction to Data Modeling
  • Working with Tables
  • Dimensions and Hierarchies
  • Lab: Model Data in Power BI Desktop

Module 5: Create Model Calculations using DAX in Power BI

This module introduces 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.

  • Introduction to DAX
  • Real-time Dashboards
  • Advanced DAX
  • Lab: Create DAX Calculations in Power BI Desktop, Part 1

Module 6: Optimize Model Performance

In this module, you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.

  • Optimize the data model for Performance
  • Optimize DirectQuery Models
  • Lab: Create DAX Calculations in Power BI Desktop, Part 2

Module 7: Create Reports

This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.

  • Design a Report
  • Enhance the Report
  • Lab: Design a Report in Power BI Desktop, Part 1
  • Lab: Design a Report in Power BI Desktop, Part 2

Module 8: Create Dashboards

In this module, you will learn how to tell a compelling story through the use of 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
  • Real-time Dashboards
  • Enhance a Dashboard
  • Lab: Create a Power BI Dashboard

Module 9: Perform Advanced Analytics

This module helps you 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.

  • Advanced Analytics
  • Data Insights Through AI Visuals
  • Lab: Perform Data Analysis in Power BI Desktop

Module 10: Create and Manage Workspaces

This module will introduce you to 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.

  • Creating Workspaces
  • Sharing and Managing Assets

Module 11: Manage Datasets in Power BI

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

  • Parameters
  • Datasets

Module 12: Row-level Security

This module will introduce you to row-level security, both static and dynamic methods, and how to implement them.

  • Security in Power BI
  • Lab: Enforce Row-Level Security

Fees And Schedule

Instructor-Led Training

32-Hour of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

After completing this course, students will be able to implement:

  • Data ingestion and preparation
  • Data modeling and optimization
  • Data visualization and insights
  • Data analysis and discovery
  • Security and asset management


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