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  4. PL-300: Microsoft Power BI Data Analyst

PL-300: Microsoft Power BI Data Analyst Course

Class Dates
(click date for class times)
(click Enroll for locations)
4/28-4/30
Class Dates and Times
04/28/2025Monday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
04/29/2025Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
04/30/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Ready to Run Class
A Ready to Run date will not cancel due to low enrollments. Seats are still available but filling fast - Register soon!

  

Register Soon!
Registrations on or after Tuesday 4/22 incur a late registration charge to cover book shipping and provisioning costs.
Before 4/22$1,795
On/After 4/22$1,975
Last Reg Date4/23
5/14-5/16
Class Dates and Times
05/14/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/15/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/16/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Ready to Run Class
A Ready to Run date will not cancel due to low enrollments. Seats are still available but filling fast - Register soon!
 
5/27-5/29
Class Dates and Times
05/27/2025Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/28/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
05/29/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Ready to Run Class
A Ready to Run date will not cancel due to low enrollments. Seats are still available but filling fast - Register soon!
 
6/11-6/13
Class Dates and Times
06/11/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/12/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/13/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT

Ready to Run Class
A Ready to Run date will not cancel due to low enrollments. Seats are still available but filling fast - Register soon!
 
6/23-6/25
Class Dates and Times
06/23/2025Monday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/24/2025Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
06/25/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
7/9-7/11
Class Dates and Times
07/09/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/10/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/11/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
7/21-7/23
Class Dates and Times
07/21/2025Monday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/22/2025Tuesday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
07/23/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
8/6-8/8
Class Dates and Times
08/06/2025Wednesday10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
08/07/2025Thursday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
08/08/2025Friday 10:00-4:45 EDT
  9:00-3:45 CDT
  8:00-2:45 MDT
  7:00-1:45 PDT
 
More dates...
Fee:  $1795

Savings options:

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  1. Home
  2. Courses
  3. Power BI
  4. PL-300: Microsoft Power BI Data Analyst

PL-300: Microsoft Power BI Data Analyst Course

 

PL-300 Course Overview

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI . The course will also show how to access and process data from a range of data sources including both 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. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

Audience Profile

The audience for this course are 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 visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Job role

Data Analyst

Preparation for certification exam

Exam PL-300 to earn Microsoft Certification: Power BI Data Analyst Associate

Skills gained

• 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

PL-300 Course Prerequisites

Successful Data Analysts start this role with experience of 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 visualization concepts.

You can gain the prerequisites and a better understanding of working with data by completing Microsoft Azure Data Fundamentals click link before taking this course.

COURSE OUTLINE

Module 1: Get Started with Microsoft Data Analytics

  • This module explores 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.
  • Lessons
  • • Data Analytics and Microsoft
  • • Getting Started with Power BI
  • Lab : Getting Started in Power BI Desktop
  • • Getting Started

Module 2: Prepare 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.
  • Lessons
  • • Get data from various data sources
  • Lab : Preparing Data in Power BI Desktop
  • • Prepare Data

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.
  • Lessons
  • • Data shaping
  • • Enhance the data structure
  • • Data Profiling
  • Lab : Transforming and Loading Data in Power BI Desktop
  • • Loading Data

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.
  • 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

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.
  • 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

Module 6: Optimize Model Performance in Power BI

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

Module 7: Create Reports in Power BI

  • 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.
  • 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

Module 8: Create Dashboards in Power BI

  • 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.
  • 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

Module 9: Enhance reports for usability and storytelling in Power BI

  • This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
  • 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

Module 10: Perform Advanced Analytics in Power BI

  • This module helps 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. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights.
  • 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

Module 11: Manage Datasets in Power BI

  • 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.
  • Lessons
  • • Parameters
  • • Datasets
  • • Security in Power BI

Module 12: Create and Manage Workspaces in Power BI

  • 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.
  • 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

 

View outline in Word

APL300

Attend hands-on, instructor-led PL-300: Microsoft Power BI Data Analyst training classes at ONLC's nationwide locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Power BI Courses and select the one that's right for you.

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