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

Name: PL-300T00 Design and Manage Analytics Solutions Using Power BI
Price: 1895.00 USD
Availability: InStock
Rating: 4.5 (1200 reviews)

Price
$1,895.00 USD

Duration
3 Days

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

Nearly 90% of companies use analytics to make big decisions, but many still can't make sense of all the data they have. Your business data has huge potential, you just need to know how to use it.

Power BI is one of the most wanted skills in business intelligence today. Companies everywhere use it to turn messy data into clear insights they can act on. In this course, you’ll learn how to design and manage analytics solutions using Power BI by connecting to data sources, transforming raw data with Power Query, and developing insightful reports and dashboards that support business and technical requirements.

This official Microsoft course also includes targeted PL-300 exam preparation, equipping you with the skills and confidence to earn your Microsoft Certified: Power BI Data Analyst Associate certification.

What Is Included

Expert-led training with real-world Power BI scenarios
Official Microsoft courseware and practice exercises
Hands-on labs and interactive demos
Access to class recordings for 90 days
Guaranteed-to-run dates available
Flexible rescheduling options

Course Objectives

By the end of this course, students will be able to design, build, and manage analytics solutions using Power BI. Training includes hands-on practice and PL-300 exam preparation.

Import, transform, and shape data from multiple sources
Develop data models using relationships, DAX, and performance tuning
Create interactive reports and dashboards tailored to user needs
Apply techniques for advanced analysis and secure data access
Demonstrate readiness for the PL-300 Power BI Data Analyst certification

Who Should Attend?

This course is designed for data analysts and business intelligence professionals who want to create actionable insights with Power BI. It’s also ideal for report developers who visualize data from on-prem or cloud-based platforms, and professionals preparing for the PL-300 exam.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What is the Microsoft Power BI Data Analyst course (PL-300T00)?

The PL-300 course is Microsoft’s official training for professionals who want to build skills in analyzing, modeling, and visualizing data using Power BI. It covers end-to-end data workflows, from connecting to diverse data sources to creating secure, interactive dashboards and reports. This course also prepares you for the PL-300 certification exam, which validates your ability to deliver actionable insights through data.

Is Microsoft Power BI Data Analyst training worth it?

Yes, and here’s why:

High Salary Potential: Certified Power BI Data Analysts earn an average of $85,000 to $115,000 USD per year.
Exam Preparation Built In: The course aligns directly with the PL-300 certification exam and includes hands-on labs and real-world scenarios.
In-Demand Skillset: Power BI is one of the most widely used business intelligence tools across industries.
Career Advancement: This credential can open doors to roles in data analysis, business intelligence, and reporting.
End-to-End Learning: You’ll build practical skills in data modeling, DAX, Power Query, and report publishing, all in one course.

Will this course help me create advanced dashboards and reports?

Yes. You’ll learn how to develop reports that visualize data clearly and effectively. The course emphasizes technical requirements for modeling, report layout, interactivity, and mobile optimization. You'll also learn how to use Power BI tools like Power Query, bookmarks, slicers, and performance tuning to create intuitive and engaging reports and dashboards that meet a variety of user needs.

Will this course help me analyze trends and uncover insights for business decision-making?

Absolutely. You'll learn how to analyze data using tools such as clustering, time intelligence, what-if parameters, and statistical summaries. These analytics techniques are key for discovering patterns and delivering insights. Whether you're working in data analytics, reporting, or business intelligence, the course shows you how to perform data analysis using Power BI in ways that support strategic decisions across departments.

Will this course help me design and manage analytics solutions using Power BI?

Yes. This training is specifically focused on helping data analysts and report developers design and manage analytics solutions using Power BI. You'll learn to build robust semantic models, optimize data modeling performance, and publish secure, scalable dashboards. The course is ideal for those looking to manage analytics solutions using Power BI across Microsoft Azure or hybrid data environments.

Does this course prepare me for the PL-300 certification exam?

Yes. The course aligns with the PL-300 certification exam objectives, giving you the practical experience needed to pass with confidence. You’ll learn through exercises, instructor-led labs, and hands-on projects that reflect the exam’s focus areas, like preparing data, data modeling, data visualization, and deploying analytics. You can also choose to add an official Microsoft certification exam voucher when enrolling.

Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with New Horizons, you may use a portion of your agreement to pay for this class.

If you have questions about Learning Credits, please contact your Account Manager.

Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://www.newhorizons.com/eligible.

If you have questions about our Corporate Tech Pass, please contact your Account Manager.

Course Prerequisites

Understanding core data concepts.
Knowledge of working with relational data in the cloud.
Knowledge of working with non-relational data in the cloud.
Knowledge of data analysis and visualization concepts.
DP-900T00 Microsoft Azure Data Fundamentals is recommended

Agenda

1 - Discover data analysis

Overview of data analysis
Roles in data
Tasks of a data analyst

2 - Get started building with Power BI

Use Power BI
Building blocks of Power BI
Tour and use the Power BI service

3 - Introduction to end-to-end analytics using Microsoft Fabric

Explore end-to-end analytics with Microsoft Fabric
Explore data teams and Microsoft Fabric
Enable and use Microsoft Fabric
Module assessment

4 - Get started with Copilot in Power BI

Use Copilot in Power BI to prepare and model data
Create reports with Copilot in Power BI
Get your data ready for AI usage in Power BI
Module assessment

5 - Get data in Power BI

Get data from files
Get data from relational data sources
Create dynamic reports with parameters
Get data from a NoSQL database
Get data from online services
Select a storage mode
Get data from Azure Analysis Services
Fix performance issues
Resolve data import errors

6 - Clean, transform, and load data in Power BI

Shape the initial data
Simplify the data structure
Evaluate and change column data types
Combine multiple tables into a single table
Profile data in Power BI
Use Advanced Editor to modify M code

7 - Choose a Power BI model framework

Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework
Module assessment

8 - Configure a semantic model

Configure relationships
Configure tables
Configure columns
Configure hierarchies
Configure measures
Configure parameters

9 - Write DAX formulas for semantic models

Understand DAX calculation types
Write DAX formulas
DAX data types
Work with DAX functions
Use DAX operators
Use DAX variables

10 - Create DAX calculations in semantic models

Create calculated tables
Create calculated columns
Understand implicit measures
Create explicit measures
Use iterator functions

11 - Use DAX time intelligence functions in semantic models

Use DAX time intelligence functions
Additional time intelligence calculations

12 - Create visual calculations in Power BI Desktop

Understand visual calculations
Create visual calculations
Use parameters in visual calculations
Module assessment

13 - Optimize a model for performance in Power BI

Describe semantic model optimization techniques
Review performance of measures, relationships, and visuals
Use variables to improve performance and troubleshooting
Reduce cardinality
Optimize DirectQuery models with table level storage
Create and manage aggregations

14 - Scope report design requirements

Identify the audience
Determine report types
Define user interface requirements
Define user experience requirements
Explore designs in a Power BI report

15 - Design Power BI reports

Design the analytical report layout
Design visually appealing reports
Use report objects
Select report visuals
Apply filters and slicers to reports
Understand filtering techniques and considerations
Case study - Configure report filters based on feedback

16 - Enhance Power BI report designs for the user experience

Design reports to show details
Design reports to highlight values
Design reports that behave like apps
Work with bookmarks
Design reports for navigation
Work with visual headers
Design reports with built-in assistance
Tune report performance
Optimize reports for mobile use

17 - Perform analytics in Power BI

Explore statistical summary
Identify outliers with Power BI visuals
Group and bin data for analysis
Apply clustering techniques
Conduct time series analysis
Use the Analyze feature
Create what-if parameters
Use specialized visuals

18 - Manage workspaces in Power BI service

Understand Power BI service
Understand workspaces
Publish to Power BI service

19 - Manage semantic models in Power BI

Use a Power BI gateway to connect to on-premises data sources
Configure a semantic model scheduled refresh
Configure incremental refresh settings
Manage and promote semantic models
Boost performance with query caching (Fabric or Premium capacity)
Use lineage and impact analysis

20 - Choose a content distribution method

Understand sharing models
Create a Power BI app
Apply data governance principles
Track report or dashboard usage

21 - Create dashboards in Power BI

Configure data alerts
Explore data by asking questions
Review Quick insights
Add a dashboard theme
Pin a live report page to a dashboard
Set mobile view

22 - Secure data access in Power BI

Configure row-level security with the static method
Configure row-level security with the dynamic method
Use single sign-on (SSO) for DirectQuery sources
Restrict access to Power BI model objects