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

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

Learning Objectives

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.

Select Commercial or Government Pricing

$895

1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

Would you like to take this course as a team?

Guaranteed to Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
Mar 2 9:00 AM - 4:30 PM EST

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Apr 2 9:00 AM - 4:30 PM EDT

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Jul 6 9:00 AM - 4:30 PM EDT

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Sep 28 9:00 AM - 4:30 PM EDT

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Jan 6 9:00 AM - 4:30 PM EST

AnyWare

$620

1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

Would you like to take this course as a team?

Guaranteed to Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
Mar 2 9:00 AM - 4:30 PM EST

AnyWare
Apr 2 9:00 AM - 4:30 PM EDT

AnyWare
Jul 6 9:00 AM - 4:30 PM EDT

AnyWare
Sep 28 9:00 AM - 4:30 PM EDT

AnyWare
Jan 6 9:00 AM - 4:30 PM EST

AnyWare

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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.

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

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

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

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

Learning Objectives

Live Instructor $895

Live Instructor $620

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

Who should attend this course?

What types of data sources can I retrieve data from in Power BI?

How does Power BI help in cleaning and preparing data for analysis?

What is the importance of semantic modeling in Power BI?

How can Power BI reports be effectively filtered for intuitive data consumption?

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