• Microsoft Azure
  • Cloud and AI Platforms (Azure)
  • Business Applications (Azure)

Design and Manage Analytics Solutions Using Power BI (PL-300T00)

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Learning Track icon
Learning Track

Cloud and AI Platforms (Azure), Business Applications (Azure)

Delivery methods icon
Delivery methods

On-Site, Virtual

Duration icon
Duration

3 days

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.

Learning Objectives

  • 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

Who Should Attend

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.

Prerequisites

  • Knowledge of data analysis and visualization concepts
  • Knowledge of working with non-relational data in the cloud
  • Knowledge of working with relational data in the cloud
  • Understanding core data concepts

Course outline

  • Discover data analysis
  • Get started building with Power BI
  • Create interactive reports using Copilot for Power BI
  • Get data in Power BI
  • Clean, transform, and load data in Power BI
  • Describe Power BI Desktop models
  • Choose a Power BI model framework
  • Design a semantic model in Power BI
  • Write DAX formulas for Power BI Desktop models
  • Add measures to Power BI Desktop models
  • Add calculated tables and columns to Power BI Desktop models
  • Use DAX time intelligence functions in Power BI Desktop models
  • Optimize a model for performance in Power BI
  • Enforce Power BI model security
  • Scope report design requirements
  • Design Power BI reports

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