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Microsoft Official Curriculum

Role-Based Certification PrepTrack: Microsoft Certified: Power BI Data Analyst AssociateOfficial Source: Microsoft Learn
MicrosoftIntermediate

Design and manage analytics solutions using Power BI

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.

Duration

3 days

Level

Intermediate

Format

Virtual, On-site, or Hybrid

Language

English

Enterprise Track

Ideal for

Data AnalystData AnalyticsCertification ReadinessTailored Team Delivery

Audience Profile

Built for these roles

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.

Overview

Executive overview

As a candidate for this certification, you should deliver actionable insights by working with available data and applying domain expertise.

Program Outcomes

Capabilities your teams will gain

Prepare the data

Model the data

Visualize and analyze the data

Manage and secure Power BI

Curriculum

Curriculum roadmap

1

Prepare the data

2

Model the data

3

Visualize and analyze the data

4

Manage and secure Power BI

1

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.

  • 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
2

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.

  • Get data in Power BI
  • Clean, transform, and load data in Power BI
  • Choose a Power BI model framework
3

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.

  • Configure a semantic model
  • Write DAX formulas for semantic models
  • Create DAX calculations in semantic models
  • Modify DAX filter context 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
4

Module 4

Design effective reports in Power BI

+

Learn to design and deliver Power BI reports using a user-centered process that emphasizes actionable insights, visual appeal, and production-ready development aligned with stakeholder needs.

  • Scope report design requirements
  • Design Power BI reports
  • Enhance Power BI report designs for the user experience
  • Perform analytics in Power BI
5

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.

  • 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

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Power BI Data Analyst Associate using the official Microsoft Learn skill outline.

  • Align labs to your Microsoft tenant and workload scenarios
  • Add readiness checks and exam preparation reviews
  • Extend delivery with role-specific implementation workshops

Credentials

Certification & official source

  • Microsoft Certified: Power BI Data Analyst Associate

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

Resources

Program resources

Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.

Enterprise Proof

Trusted delivery outcomes

The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.

Head of Data Engineering

Global Financial Services Firm

Financial Services
We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.

VP of Technology

Large Healthcare Organization

Healthcare

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

MCT-led delivery

Programs led by Microsoft Certified Trainer practitioners

Enterprise program oversight

Founder-led specialist delivery with structured rollout planning

Global delivery

APAC · EMEA · Americas · Virtual & Onsite

Implementation-focused

Hands-on labs aligned to production scenarios

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid