Preparing Your Data for Power BI Course Overview

Preparing Your Data for Power BI Course Overview

The "Preparing Your Data for Power BI" course is designed to equip learners with the skills needed to effectively prepare and model data for analysis in Power BI. The course provides a comprehensive overview, starting with an introduction to the necessary materials, facilities, and prerequisites for participants. It delves into the Tabular Model, an essential concept for Power BI, covering Analysis Services installation, architecture, version changes, and important terms.

Throughout the modules, participants will learn how to work within the Tabular environment, manage projects, import and load data from various sources, and understand the nuances of different data credentials. The course emphasizes the use of DAX and MDX for querying and building robust data models, including relationships, hierarchies, and KPIs. Additionally, it covers integration with Excel PowerPivot, demonstrating how to work with Pivot Tables and Power View. By the end of the course, learners will be well-versed in preparing data for Power BI, ensuring they're ready to create insightful, data-driven reports and dashboards.

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  • Live Online Training (Duration : 16 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure your success in the "Preparing Your Data for Power BI" course, the following prerequisites are recommended:


  • Basic understanding of databases and data source concepts
  • Familiarity with Microsoft Excel and its key features
  • An introductory level of knowledge in data analysis and visualization
  • Awareness of the importance of data quality and data transformation processes
  • Enthusiasm for learning about data analytics and business intelligence

No advanced technical skills are required, and the course is designed to be accessible for those with fundamental data handling experience.


Target Audience for Preparing Your Data for Power BI

The "Preparing Your Data for Power BI" course is designed for professionals seeking to enhance their data modeling and visualization skills using Power BI.


Target Audience for the "Preparing Your Data for Power BI" Course:


  • Data Analysts
  • Business Intelligence Professionals
  • IT Analysts
  • Database Administrators
  • Report Developers
  • Data Scientists
  • Excel Power Users
  • BI Consultants
  • Data Engineers
  • Project Managers involved in data projects
  • Professionals interested in data analytics and business reporting


Learning Objectives - What you will Learn in this Preparing Your Data for Power BI?

Introduction to Course Learning Outcomes

This course equips students with the essential skills to prepare and transform data for insightful analysis using Power BI, focusing on the Tabular Model, DAX, and MDX.

Learning Objectives and Outcomes

  • Understand the architecture and components of SQL Server Analysis Services and the Tabular Model.
  • Navigate and utilize SQL Server Data Tools for designing tabular models.
  • Acquire skills to import and load data from various sources into the Tabular Model.
  • Master the use of Data Analysis Expressions (DAX) for creating calculated columns, measures, and enhancing data models with advanced calculations.
  • Gain proficiency in using Multidimensional Expressions (MDX) for querying and retrieving data effectively.
  • Develop the ability to build robust data models in Power BI by importing related tables and creating relationships.
  • Learn to create and manage hierarchies, KPIs, perspectives, and implement drillthrough in data models.
  • Explore the use of Direct Query for real-time data analytics.
  • Experience working with Excel PowerPivot, Pivot Tables, and PowerView to analyze data within Excel.
  • Deploy and manage Power BI solutions effectively, enabling dynamic data exploration and visualization.