Microsoft Certified: Power BI Data Analyst Associate
The Power BI data analyst delivers actionable insights by leveraging available data and applying domain expertise. The Power BI data analyst collaborates with key stakeholders across verticals to identify business requirements, cleans and transforms the data, and then designs and builds data models by using Power BI. The Power BI data analyst provides meaningful business value through easy-to-comprehend data visualizations, enables others to perform self-service analytics, and deploys and configures solutions for consumption. Candidates for this training should be proficient in using Power Query and writing expressions by using DAX.
Delivery format: Classroom, Virtual-Led
Certification: Microsoft Power BI Data Analyst Associate (PL-300)
Cybiant has exceeded my expectations in delivering this training. My instructor guided me every step of the way, and helped me prepare for the exam. Best training I have been to in a long time.
Johnathon Smith, AdeccoI completed the RPA Fundamentals training with Cybiant. Although it was a difficult training, Mike made it is almost sound easy. I am confident that I am now well prepared to pass the examination. Thank Mike!
Justin Woo, Petronas DigitalMicrosoft Certified: Power BI Data Analyst Associate (PL-300)
The main purpose of the Power BI Data Analyst Associate course is to give students a good understanding of data analysis with Power BI. 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.
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.
Lesson
• Data Analytics and Microsoft
• Getting Started with Power BI
Module 2: Getting 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.
Lesson
• Data Analytics and Microsoft
• Optimize Performance
• Resolve Data Errors
Lab: Preparing Data in Power BI Desktop
• Prepare Data
Module 3: Cleaning, Transforming, and Loading 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.
Lesson
• Shaping the Data
• Profiling the Data
• Enhance the data structure
Lab: 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.
Lesson
• Introduction to data modeling
• Working with tables
• Dimensions and Hierarchies
Lab: Data Modeling in Power BI Desktop
• Create Model Relationships
• Configure Tables and Column Properties
• Create hierarchies
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.
Lesson
• Introduction to DAX
• Real-time dashboards
• Advanced DAX
Lab: Introduction to DAX in Power BI Desktop
• Create calculated tables
• Create calculated columns
• Create measures
Lab: Advanced DAX in Power BI Desktop
• Use the CALCULATE() function to manipulate filter context
• Use Time Intelligence functions
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.
Lesson
• Optimize the data model for performance
• Optimize DirectQuery Models
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.
Lesson
• Design a report
• Enhance the report
Lab: Designing a report 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.
Lesson
• 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
• Use Q&A to create a dashboard tile
Module 9: Identify Patterns and Trends 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.
Lesson
• Advanced Analytics
• Data Insights through AI visuals
Lab: Data Analysis in Power BI Desktop
• Create animated scatter charts
• Use the visual to forecast values
Module 10: 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.
Lesson
• Creating Workspaces
• Sharing and Managing Assets
Module 11: Manage Files and 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.
Lesson
• Parameters
• Datasets
Module 12: Row-level Security in Power BI
This module will introduce you to row-level security, both static and dynamic methods, and how to implement.
Lesson
• Security in Power BI
Lab: Enforce Row-Level Security
• Configure many-to-many relationships
• Enforce row-level security
Please note that this program prepares participants for the Microsoft Examination: PL-300: Microsoft Power BI Data Analyst. Cybiant is a registered Microsoft Learning Partner.
Registration
Cybiant offers the following learning options for this course:
E-Learning – 3 months access
The e-learning option provides students with access to an e-learning environment with pre-recorded lectures, exercises and quizzes. You can complete the course in your own time, at your own pace. This option provides access for 3 months, and includes the official exam.
Virtual Training – 2×2 hours per day
The virtual training option is an online class taught by a live Cybiant instructor. You will receive a meeting invitation to participate in the live lectures. Our virtual training courses are organized in 2 x 2-hour sessions per day to accommodate some other work. Official examinations are included in the pricing.
Classroom Training – full day
The classroom training option will be conducted by a Cybiant instructor in a 5-star hotel. You will participate in a live training and meet other participants. Breaks, lunch and exam voucher are included in the pricing.
You can register for the course by selecting the option of your choice below:
| Image | Name | Format | Dates | Price | Buy |
|---|---|---|---|---|---|
 | Microsoft Certified: Power BI Data Analyst Associate | Virtual | 25-27 November 2024 | $625.00 | |
| Microsoft Certified: Power BI Data Analyst Associate | Virtual | 13-15 January 2025 | $625.00 | |
| Microsoft Certified: Power BI Data Analyst Associate | Virtual | 21-23 April 2025 | $625.00 | |
| Microsoft Certified: Power BI Data Analyst Associate | Virtual | 16-18 June 2025 | $625.00 | |
| Microsoft Certified: Power BI Data Analyst Associate | Virtual | 13-15 October 2025 | $625.00 | |
| Microsoft Certified: Power BI Data Analyst Associate | Virtual | 22-24 December 2025 | $625.00 |
* Price excludes exam
Learning Objectives
After completing this course, students will be able to:
- 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
Target Audience
The primary audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. The secondary audiences for this course are individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Exam Structure
After the course, you will receive an exam voucher PL-300 Microsoft Power BI Data Analyst. With this exam voucher, you can schedule the Microsoft exam at an authorized test centre or online.
This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.
Candidates for this training should be proficient in using Power Query and writing expressions by using DAX.
Skills measured:
• Prepare the data (15–20%)
• Model the data (30–35%)
• Visualize and analyze the data (25–30%)
• Deploy and maintain assets (20–25%)
Downloads
Please find below the course brochure:
Unless otherwise specified, all courses include official examination
All Cybiant trainers are experts in their knowledge domain
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