PL - 300 : Power BI Data Analyst Associate

The PL - 300 : Power BI Data Analyst Associate course is designed to equip learners with the skills needed to analyze data and deliver actionable insights using Microsoft Power BI. This course covers the full data analysis lifecycle—from data preparation and modeling to visualization and report sharing. Participants learn how to connect to various data sources, clean and transform data using Power Query, build robust data models, and create interactive dashboards and reports that drive business decisions. It also includes instruction on DAX (Data Analysis Expressions) for advanced calculations and best practices for securing and managing data within Power BI. Ideal for aspiring or current data analysts, the PL-300 course prepares learners for the Microsoft Certified: Power BI Data Analyst Associate certification exam.

Audience Profile:

This course is designed for data professionals and business intelligence experts who want to enhance their skills in performing data analysis using Power BI. It is also suited for those who create reports and visualize data from both cloud and on-premises data platform technologies.

At Course Completion:

After completing this course, students will be able to:

• Create and manage a Power BI workspace.

• Understand collaboration within workspaces.

• Monitor workspace usage and performance.

• Distribute Power BI apps.

Prerequisites:

Participants should have experience working with cloud-based data and an understanding of:

• Core data concepts.

• Working with relational and non-relational data in the cloud.

• Data analysis and visualization principles.

It is recommended to complete Microsoft Azure Data Fundamentals for a solid foundation before attending this course.

Course Outline:

Module 1: Get Started with Microsoft Data Analytics
Lessons

• Data Analytics and Microsoft

• Getting Started with Power BI

Lab: Getting Started in Power BI Desktop

• Getting Started

After completing this module, students will be able to:

• Explore the different roles in data

• Identify the tasks performed by a data analyst

• Describe the Power BI landscape of products and services

• Use the Power BI service

Module 2: Prepare Data in Power BI
Lessons

• Get data from various data sources

Lab: Preparing Data in Power BI Desktop

• Prepare Data

After completing this module, students will be able to:

• Identify and retrieve data from different data sources

• Understand connection methods and their performance implications

• Use Microsoft Dataverse

• Connect to a data flow

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

• Data shaping

• Enhance the data structure

• Data Profiling

Lab: Transforming and Loading Data in Power BI Desktop

• Loading Data

After completing this module, students will be able to:

• Apply data shape transformations

• Enhance the structure of the data

• Profile and examine the data

Module 4: Design a Data Model in Power BI
Lessons

• 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

After completing this module, students will be able to:

• Understand the basics of data modeling

• Define relationships and their cardinality

• Implement Dimensions and Hierarchies

• Create histograms and rankings

Module 5: Create Model Calculations using DAX in Power BI
Lessons

• 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

After completing this module, students will be able to:

• 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

Module 6: Optimize Model Performance in Power BI
Lessons

• Optimize the model for performance

• Optimize DirectQuery Models

• Create and manage Aggregations

After completing this module, students will be able to:

• Understand the importance of variables

• Enhance the data model

• Optimize the storage model

• Implement aggregations

Module 7: Create Reports in Power BI
Lessons

• 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

After completing this module, students will be able to:

• Design a report page layout

• Select and add effective visualizations

• Add basic report functionality

• Add report navigation and interactions

• Improve report performance

• Design for accessibility

Module 8: Create Dashboards in Power BI
Lessons

• 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

After completing this module, students will be able to:

• Create a Dashboard

• Understand real-time Dashboards

• Enhance Dashboard usability

Module 9: Enhance Reports for Usability and Storytelling in Power BI
Lessons

• 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

After completing this module, students will be able to:

• Explain paginated reports

• Create a paginated report

• Create and configure a data source and dataset

• Work with charts and tables

• Publish a report

Module 10: Perform Advanced Analytics in Power BI
Lessons

• 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

After completing this module, students will be able to:

• Explore statistical summary

• Use the Analyze feature

• Identify outliers in data

• Conduct time-series analysis

• Use AI visuals

• Use the Advanced Analytics custom visual

Module 11: Manage Datasets in Power BI
Lessons

• Parameters

• Datasets

• Security in Power BI

After completing this module, students will be able to:

• Create and work with parameters

• Manage datasets

• Configure dataset refresh

• Troubleshoot gateway connectivity

• Understand aspects of Power BI security

• Configure row-level security roles and group memberships

Module 12: Create and Manage Workspaces in Power BI
Lessons

• 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