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DA-100 Analyze Data with Power BI Course Overview

DA-100 Analyze Data with Power BI Course Overview

The DA-100 Analyze Data with Power BI course is a comprehensive program designed for individuals seeking to enhance their data analytics skills using Microsoft Power BI, aimed at preparing them for the DA-100 certification exam. The course offers detailed insights into data analytics principles and hands-on experience with Power BI capabilities. Starting with an introduction to the platform, learners will progress through various modules that cover topics like data preparation, data modeling, DAX measures creation, performance optimization, report and dashboard creation, advanced analytics, workspace management, dataset handling, and implementing row-level security.

By completing this course, learners will gain proficiency in using Power BI for real-world data analytics scenarios. The Microsoft Power BI certification cost and Microsoft Power BI certification course details can be found on the official Microsoft website, providing learners with a clear path to gaining recognized credentials that can bolster their careers in the field of data analytics.

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1. Analyze and Visualize Data using Tableau DA-100 Analyze Data with Power BI and Analyze and Visualize Data using Tableau are courses focused on data analysis and visualization Read More

Course Prerequisites

Certainly! To successfully undertake training in the DA-100 Analyze Data with Power BI course, the minimum required prerequisites include:


  • Basic understanding of data concepts, such as data analysis, databases, and reporting.
  • Familiarity with Microsoft Excel or a similar spreadsheet tool, particularly functions and formulas.
  • Basic knowledge of data types and their significance within the context of data analysis.
  • An eagerness to learn and explore data visualization concepts.
  • Access to a computer with Power BI Desktop installed (free download from Microsoft) for practice.
  • A Microsoft account to sign into Power BI service if you wish to publish your reports and dashboards.

Please note that while prior experience with Power BI is helpful, it is not a strict requirement, as the course is designed to introduce Power BI to new users as well. The most important prerequisite is a willingness to learn and apply new skills in data analytics.


Target Audience for DA-100 Analyze Data with Power BI

The DA-100 Analyze Data with Power BI course is designed for professionals seeking to leverage Microsoft's analytics and reporting tools.


  • Business Intelligence Professionals
  • Data Analysts
  • Report Developers
  • Data Scientists
  • IT Professionals
  • Business Analysts
  • Project Managers
  • Data Engineers
  • Database Administrators
  • Financial Analysts
  • Marketing Analysts
  • Supply Chain Analysts
  • Professionals looking to transition into data roles


Learning Objectives - What you will Learn in this DA-100 Analyze Data with Power BI?

Introduction to DA-100 Analyze Data with Power BI Course Learning Outcomes

This course equips students with the skills to analyze data and build visualizations using Power BI, enhancing decision-making processes.

Learning Objectives and Outcomes:

  • Understand the role of data analytics within Microsoft's ecosystem and learn to navigate Power BI.
  • Learn to connect to and import data from various sources, optimizing performance and troubleshooting data errors.
  • Master data shaping, structuring enhancements, and profiling to prepare data effectively for analysis.
  • Develop a robust data model, understanding table relationships, dimensions, and hierarchies to enable complex data analysis.
  • Gain proficiency in DAX for creating advanced calculations and measures to uncover deeper insights in data.
  • Optimize data models and DirectQuery for improved performance and manage aggregations for large datasets.
  • Design interactive reports with advanced visualization techniques to convey analysis clearly and effectively.
  • Create and configure dashboards for real-time data monitoring and apply enhancements for improved user engagement.
  • Produce paginated reports suitable for printing or PDF generation, using the advanced reporting features of Power BI.
  • Apply advanced analytics techniques, utilize AI visuals for predictive insights, and manage workspace collaboration and dataset sharing.
  • Implement row-level security to ensure data remains secure and compliance standards are met within Power BI reports and dashboards.

Target Audience for DA-100 Analyze Data with Power BI

The DA-100 Analyze Data with Power BI course is designed for professionals seeking to leverage Microsoft's analytics and reporting tools.


  • Business Intelligence Professionals
  • Data Analysts
  • Report Developers
  • Data Scientists
  • IT Professionals
  • Business Analysts
  • Project Managers
  • Data Engineers
  • Database Administrators
  • Financial Analysts
  • Marketing Analysts
  • Supply Chain Analysts
  • Professionals looking to transition into data roles


Learning Objectives - What you will Learn in this DA-100 Analyze Data with Power BI?

Introduction to DA-100 Analyze Data with Power BI Course Learning Outcomes

This course equips students with the skills to analyze data and build visualizations using Power BI, enhancing decision-making processes.

Learning Objectives and Outcomes:

  • Understand the role of data analytics within Microsoft's ecosystem and learn to navigate Power BI.
  • Learn to connect to and import data from various sources, optimizing performance and troubleshooting data errors.
  • Master data shaping, structuring enhancements, and profiling to prepare data effectively for analysis.
  • Develop a robust data model, understanding table relationships, dimensions, and hierarchies to enable complex data analysis.
  • Gain proficiency in DAX for creating advanced calculations and measures to uncover deeper insights in data.
  • Optimize data models and DirectQuery for improved performance and manage aggregations for large datasets.
  • Design interactive reports with advanced visualization techniques to convey analysis clearly and effectively.
  • Create and configure dashboards for real-time data monitoring and apply enhancements for improved user engagement.
  • Produce paginated reports suitable for printing or PDF generation, using the advanced reporting features of Power BI.
  • Apply advanced analytics techniques, utilize AI visuals for predictive insights, and manage workspace collaboration and dataset sharing.
  • Implement row-level security to ensure data remains secure and compliance standards are met within Power BI reports and dashboards.