Overview
This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
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Why Choose KORNERSTONE
- Accredited, practitioner-led, expert certificate trainers to provide high quality training
- Official training material included
- Practical, scenario-based learning – focus on application, not just theory
- Excellent Passing Rate
Skills Covered
- Get started with Microsoft data analytics
- Prepare data for analysis with Power BI
- Model data with Power BI
- Design effective reports in Power BI
- Manage and secure Power BI
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 in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Target Audience
- The audience for this course is data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.
- This course is also targeted at those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises
Course Curriculum
Module 1: Get started with Microsoft data analytics
Explore the role of a data analyst and how Power BI tools transform data into impactful reports and dashboards that support trusted, data-driven decisions across the business.
This learning path can help you prepare for the Microsoft Certified: Data Analyst Associate certification.
- Discover data analysis
- Get started building with Power BI
- Introduction to end-to-end analytics using Microsoft Fabric
- Get started with Copilot in Power BI
Module 2: Prepare data for analysis with Power BI
You’ll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You’ll also learn to profile, clean, and load data into Power BI before you model your data.
This learning path can help you prepare for the Microsoft Certified: Data Analyst Associate certification.
- Get data in Power BI
- Clean, transform, and load data in Power BI
- Choose a Power BI model framework
Module 3: Model data with Power BI
Data modeling configures and shapes your prepared data to design a semantic model with the necessary relationships and calculations using Data Analysis Expressions (DAX). This process ensures accurate analysis and sets you up to create clear, impactful Power BI reports.
This learning path can help you prepare for the Microsoft Certified: Data Analyst Associate certification.
Prerequisites
Before you start this learning path, you should be familiar with the Power BI Desktop application. You should also have a basic understanding of data analysis concepts and terminology, such as tables, relationships, and calculations.
- Configure a semantic model
- Write DAX formulas for semantic models
- Create DAX calculations in semantic models
- Use DAX time intelligence functions in semantic models
- Create visual calculations in Power BI Desktop
- Optimize a model for performance in Power BI
Module 4: Design effective reports in Power BI
Use data visualization and storytelling techniques to create insightful, dynamic Power BI reports that engage users, highlight key findings, and help inform decisions based on data.
- Scope report design requirements
- Design Power BI reports
- Enhance Power BI report designs for the user experience
- Perform analytics in Power BI
Module 5: Manage and secure Power BI
Ensure content is accessible and distributed effectively in Power BI to foster collaboration and informed decision-making. Protect sensitive information with robust security, building trust across your organization.
This learning path can help you prepare for the Microsoft Certified: Data Analyst Associate certification.
- Manage workspaces in Power BI service
- Manage semantic models in Power BI
- Choose a content distribution method
- Create dashboards in Power BI
- Secure data access in Power BI
Dates & Locations
August 26, 2026 - August 28, 2026
September 7, 2026 - September 9, 2026
September 7, 2026 - September 9, 2026
October 19, 2026 - October 21, 2026
November 23, 2026 - November 25, 2026
December 14, 2026 - December 16, 2026
December 14, 2026 - December 16, 2026
Exam & Certification
Microsoft Certified: Power BI Data Analyst Associate
If you enjoy analyzing data and using Power BI to discover and unlock data insights, this could be the ideal Power BI certification for you—especially if you use those insights to provide easy-to-understand data visualizations that can help drive the success of your team and organization.
You fit the profile for a Power BI Data Analyst Associate if you have a fundamental understanding of data repositories and data processes, both on-premises and in the cloud. You’re also a subject matter expert who enables organizations to maximize the value of their data assets by using Power BI. Your responsibilities include designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value. You also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.
Ready to discover your career path?
You’re a professional data analyst whose analytical capabilities and Power BI skills help provide businesses with the data they need to make better, faster decisions. Are you ready to explore where a Microsoft Certified credential can take you on your career journey? A Power BI Data Analyst Associate certification can help you stand out in a technical landscape where the demand for data analytics expertise is growing and as a stepping stone for Microsoft Fabric certs:
Microsoft Certified: Fabric Analytics Engineer Associate
The Microsoft Fabric Analytics Engineer Associate certification (exam DP‑600) is an intermediate-level credential for data engineers and analysts. It validates expertise in building and maintaining data analytics assets—such as lakehouses, warehouses, pipelines, and semantic models—and proficiency in SQL, KQL, DAX, and security governance within the Fabric ecosystem.
Microsoft Certified: Fabric Data Engineer Associate
The Microsoft Certified: Fabric Data Engineer Associate certification is a role-based credential designed for professionals who specialize in data engineering on the Microsoft Fabric platform. It validates skills in designing, building, and maintaining data ingestion, transformation, and storage solutions, with a notable emphasis on optimizing data pipelines for AI applications.
