Prepare and Visualize Data with Microsoft Power BI (DP-605)

Course 8687

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

This one-day, beginner-level course introduces learners to Microsoft Power BI as a powerful tool for data analysis and visualization. Participants will learn how to connect to various data sources, clean and transform data using Power Query, and build interactive reports that support decision-making. The course also explores semantic modeling techniques and introduces Copilot in Power BI to enhance productivity through AI-assisted report development.

Through hands-on exercises and guided instruction, learners will gain practical experience in preparing data, designing effective report layouts, and applying filters and visuals to communicate insights clearly. The course concludes with an introduction to Microsoft Fabric and its role in end-to-end analytics.

Develop dynamic reports with Microsoft Power BI (DP-605) Delivery Methods

  • In-Person

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

Develop dynamic reports with Microsoft Power BI (DP-605) Training Information

By the end of this course, participants will be able to:

  • Connect to and import data from multiple sources using Power BI.
  • Clean, transform, and shape data using Power Query.
  • Configure semantic models to support intuitive data exploration.
  • Design visually effective and interactive Power BI reports.
  • Use Copilot in Power BI to accelerate report creation and data modeling.
  • Understand the role of Microsoft Fabric in enterprise analytics.

Training Prerequisites

  • No prior experience with Power BI is required.
  • Basic familiarity with data concepts and Microsoft Excel is helpful but not mandatory.

Prepare and Visualize Data with Microsoft Power BI (DP-605) Training Outline

Module 1: Get Started Building with Power BI

  • Explore the Power BI interface and core building blocks.
  • Understand the flow of data through Power BI.
  • Navigate the Power BI service and create basic reports.

Module 2: Get Data in Power BI

  • Connect to data from files, databases, and online services.
  • Select appropriate storage modes and resolve import errors.
  • Improve performance during data retrieval.

Module 3: Clean, Transform, and Load Data

  • Shape and simplify data structures using Power Query.
  • Combine tables, change data types, and profile columns.
  • Use the Advanced Editor to modify M code.

Module 4: Configure a Semantic Model

  • Define relationships, hierarchies, and measures.
  • Organize data into intuitive tables and columns.
  • Apply parameters to support dynamic reporting.

Module 5: Design Power BI Reports

  • Create consistent and visually appealing report layouts.
  • Select appropriate visuals and apply filters and slicers.
  • Use interactive objects to enhance user experience.

Module 6: Get Started with Copilot in Power BI

  • Use Copilot to prepare data and build reports.
  • Interact with data using natural language queries.
  • Prepare data for AI-assisted analysis.

Module 7: Introduction to Microsoft Fabric

  • Explore Microsoft Fabric as a unified analytics platform.
  • Understand how data teams can leverage Fabric.
  • Enable and use Fabric for end-to-end analytics.

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Develop dynamic reports with Microsoft Power BI (DP-605) FAQs

This course is ideal for:

  • Data Analysts and Business Professionals seeking to build interactive reports and dashboards.
  • Beginners in data visualization who want to learn Power BI from the ground up.
  • Decision-makers who need to transform raw data into actionable insights.

Participants will gain foundational skills in Power BI to support data-driven decision-making.

You can retrieve data from a variety of sources, including Microsoft Excel, relational databases, NoSQL data stores, online services, and more. 

Power BI offers robust features in Power Query dedicated to cleaning and preparing data, such as simplifying complex models, changing data types, and profiling columns. 

Semantic modeling simplifies complex data structures, aids in creating efficient relationships, and ensures optimal performance and usability of reports. 

Power BI offers various filtering techniques, including applying filters to report structures, using slicers, and implementing advanced filtering options, ensuring intuitive data exploration and analysis. 

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