Course PL-300T00: Microsoft Power BI Data Analyst

Instructor Led Training

3 Days

AUD 2750

Why Microsoft Power BI?

Want to combine data from several sources to create dynamic, immersive dashboards and reports that provide actionable insights and assist your company in achieving success?

This course is intended for data and business intelligence professionals interested in learning how to conduct accurate data analysis with Power BI. Additionally, this course is intended for professionals who produce reports that show data from cloud-based and on-premises data platform technologies.

Course Outline

This course will examine several methodologies and best practices for modeling, displaying, and analyzing data using Power BI that are aligned with business and technical needs. Additionally, the course will demonstrate how to access and process data from a variety of data sources, both relational and non-relational. Additionally, this course will cover how to build appropriate security standards and rules throughout the whole Power BI ecosystem, including datasets and groups. Additionally, the course will cover how to manage and install reports and dashboards for content sharing and distribution. Finally, this course will demonstrate how to create paginated reports using the Power BI service and then publish them to a workspace for inclusion in Power BI.

Exam: PL-300


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

1. Understanding core data concepts.
2. Knowledge of working with relational data in the cloud.
3. Knowledge of working with non-relational data in the cloud.
4. Knowledge of data analysis and visualisation concepts.

Prerequisite Courses (or equivalent knowledge):

DP-900T00 – Microsoft Azure Data Fundamentals

Course Outcomes

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

Create paginated reports in Power BI


In this module, we will explore the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.


  • Data Analytics and Microsoft
  • Getting Started with Power BI

Lab : Getting Started in Power BI Desktop

  • Getting Started

In this module, you will learn how to identify and retrieve 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

Lab : Preparing Data in Power BI Desktop

  • Prepare Data

This module will teach 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
  • Enhance the data structure
  • Data Profiling

Lab : Transforming and Loading Data in Power BI Desktop

  • Loading Data

This module will teach the fundamental concepts of designing and developing a data model for proper performance and scalability. Additionally, it 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 : Data Modeling in Power BI Desktop

  • Create Model Relationships
  • Configure Tables
  • Review the model interface
  • Create Quick Measures

Lab : Advanced Data Modeling in Power BI Desktop

  • Configure many-to-many relationships
  • Enforce row-level security

This module will 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.


  • Introduction to DAX
  • DAX context
  • Advanced DAX

Lab : Advanced DAX in Power BI Desktop

  • Use the CALCULATE() function to manipulate filter context
  • Use Time Intelligence functions

Lab : Introduction to DAX in Power BI Desktop

  • Create calculated tables
  • Create calculated columns
  • Create measures

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


  • Optimze the model for performance
  • Optimize DirectQuery Models
  • Create and manage Aggregations

This module will introduce 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 will also be covered.


  • Design a report
  • Enhance the report

Lab : Designing a report in Power BI Desktop

  • Create a live connection in Power BI Desktop
  • Design a report
  • Configure visual fields and format properties

Lab : Enhancing reports with interaction and formatting in Power BI Desktop

  • Create and configure Sync Slicers
  • Create a drillthrough page
  • Apply conditional formatting
  • Create and use Bookmarks

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 also 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 : Creating a Dashboard in Power BI Service

  • Create a Dashboard
  • Pin visuals to a Dashboard
  • Configure a Dashboard tile alert
  • Use Q&A to create a dashboard tile

In this module, we will teach you about paginated reports, including what they are how they fit into Power BI. We will then cover how to build and publish a report.


  • Paginated report overview
  • Create Paginated reports

Lab : Creating a Paginated report in Power BI Desktop

  • Use Power BI Report Builder
  • Design a multi-page report layout
  • Define a data source
  • Define a dataset
  • Create a report parameter
  • Export a report to PDF

This module will help you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. Additionally, you will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.


  • Advanced Analytics
  • Data Insights through AI visuals

Lab : Data Analysis in Power BI Desktop

  • Create animated scatter charts
  • Use the visual to forecast values
  • Work with Decomposition Tree visual
  • Work with the Key Influencers visual

In this module, you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.


  • Parameters
  • Datasets
  • Security in Power BI

In this module, you will be introduced 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

Lab : Publishing and Sharing Power BI Content

  • Map security principals to dataset roles
  • Share a dashboard
  • Publish an App

Interested in becoming a Power BI Data Analyst?