Exam PL-300: Microsoft Power BI Data Analyst - Course Overview

PL-300 is a Microsoft certification exam focusing on the tool Power BI, including designing solutions, creating solutions, implementing solutions, and supporting organizational adoption of the Power Platform. The Microsoft Power BI course is structured to provide instruction on utilizing Power BI, a business intelligence tool that empowers users to analyze and visualize data from diverse sources. The course covers the following topics:
  • Introduction to Power BI: This section provides an overview of Power BI, including its capabilities, architecture, and data sources.
  • Connecting to Data: This section establishes connections with diverse data sources, such as Excel, SQL Server, and cloud-based data sources.
  • Data Modeling: This section teaches you how to create relationships between tables, create calculated columns and measures, and create hierarchies.
  • Visualizations: This section covers how to create and customize visualizations, including tables, charts, maps, and gauges.
  • Dashboards and Reports: This section covers creating dashboards and reports to visualize data meaningfully and share them with others.
  • Publishing and Sharing: This section covers how to publish and share dashboards and reports with others in your organization.
  • Power BI Service: This section covers the Power BI service, including how to access it, workspaces, and collaboration.

The course typically includes hands-on labs and exercises to help you practice and reinforce what you've learned. Upon completing the course, you should have a solid understanding of Power BI and be able to create visualizations, dashboards, and reports that enable users to gain insights from their data.

Microsoft Power BI Data Analyst-Exam Details (PL 300)
Certification Name Microsoft Certified: Data Analyst Associate
Question Type Multiple-choice and Multiple response questions
Exam Cost USD 165.00*
Total Questions 40 - 60 Questions
Exam Duration 100 minutes (to answer the questions)

After completing PL 300 course, students will be able to:

  • Prepare the data
  • Model the data
  • Visualize and analyze the data
  • Deploy and maintain assets

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Main Highlights of Microsoft PL-300 Training

  • Our comprehensive curriculum aligns with Microsoft exam objectives and covers data modeling, visualization, dashboards, data connectivity, and more for the PL-300 exam.
  • Our hands-on approach emphasizes practical experience, and our certified instructors bring expertise and industry experience in Power BI
  • Through interactive labs and exercises, you can apply learned concepts in real-world scenarios, solidifying understanding and building confidence in effective Power BI usage.
  • Our exam preparation assistance enhances familiarity with the exam format, identifies areas for improvement, and increases your chances of passing the PL-300 exam successfully.
  • Check out our reviews, testimonials, and recommendations from past clients and training. It is the perfect blend of an instructor-led course and hands-on lab environment, helping us to get insight into the tool Power BI.

Who can participate in the Microsoft Power BI Data Analyst Certification Training?

  • This course tailors business intelligence professionals seeking to elevate their data analysis and visualization expertise.
  • The training program is structured for data analysts aiming to develop proficiency in utilizing the Power BI tool for data analysis.
  • This course caters to data scientists who seek to leverage Power BI to craft impactful and engaging data visualizations.
  • The instructor-led course intends for IT professionals interested in acquiring the skills to build data models and dashboards utilizing Power BI.
  • Microsoft PL 300 course aims at project managers who wish to enhance their comprehension of data analysis and visualization techniques, enabling them to manage projects with a data-driven approach effectively
  • This course welcomes individuals curious to expand their knowledge of data analysis and visualization, regardless of their background or prior experience.

What are the prerequisites for the PL-300 course?

  • Experienced data analysts often embark on their roles with a foundation of prior experience with data visualization products and services such as Microsoft Power BI
  • Understanding of both on-premises and cloud-based data repositories
  • A fundamental understanding of Azure data services

What makes CloudThat a compelling choice for PL-300 training?

  • With over 11 years of experience in training and consulting, we at CloudThat bring extensive expertise to our PL-300 training for Microsoft Power BI Data Analysts
  • CloudThat has successfully trained a vast number of professionals, approximately 6.5 lakh individuals, and provided training services to more than 100 corporate clients across the globe.
  • Our Microsoft certified trainers (MCTs) for PL 300 Power BI Data Analyst course emphasize a significant portion of hands-on lab sessions, ranging from 50% to 60%, to foster a learning approach centered around scenario-based problem-solving.
  • Our PL300-certified trainer facilitates instructor-led training and mentoring sessions that focus on developing competency-based learning (CBL) methodologies. These sessions are designed to enhance participants' skills and knowledge through practical application and real-world scenarios.
  • CloudThat offers training and consulting services with a proven track record of successfully delivering numerous projects, including engagements with Fortune 500 companies.

Learning Objectives of PL-300 Microsoft Power BI Data Analyst Training

  • Understanding Power BI Fundamentals: Gain a solid understanding of the core concepts and features of Power BI, including data modeling, visualizations, and data transformation.
  • Creating and Sharing Data Models: Learn how to import and shape data from various sources, design data models, create relationships between tables, and optimize data for analysis.
  • Building Reports and Dashboards: Develop skills in creating interactive and visually compelling reports and dashboards using Power BI Desktop and Power BI service.
  • Implementing Advanced Data Transformations: Explore advanced techniques for data transformation and manipulation, such as DAX formulas, calculated columns, and measures.
  • Implementing Power BI Security: Understand the different security options available in Power BI and learn how to apply them to ensure data privacy and control access to reports and dashboards.
  • Integrating Power BI with Other Applications: Learn how to integrate Power BI with other Microsoft and third-party applications, such as SharePoint, Teams, and Azure services, to enhance collaboration and extend the functionality of Power BI.
  • Managing Data Sources: Discover techniques for connecting to and collecting data from on-premises and cloud-based sources, including configuring data gateways and refresh schedules.
  • Optimizing Performance and Querying: Learn best practices for improving and optimizing query performance in Power BI, including data modeling techniques and query optimization.
  • Implementing Advanced Visualizations: Explore advanced visualization techniques, such as custom visuals, bookmarks, drill-through actions, and storytelling, to create impactful and interactive reports.
  • Monitoring and Troubleshooting Power BI: Understand how to monitor and troubleshoot Power BI solutions, including diagnosing and resolving data refresh issues, performance problems, and security concerns

Course Outline Download Course Outline

Clean, Transform, and Load the Data

  • Profile the data
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Identify and create appropriate keys for joins
  • Evaluate and transform column data types
  • Shape and transform tables
  • Combine queries
  • Apply user-friendly naming conventions to columns and queries
  • Configure data loading
  • Resolve data import errors

Get Data from Different Data Sources

  • Identify and connect to a data source
  • Change data source settings
  • Select a shared dataset or create a local dataset
  • Select a storage mode
  • Use Microsoft Dataverse
  • Change the value in a parameter
  • Connect to a data flow

Design a data model

  • Define the tables
  • Configure table and column properties
  • Design and implement role-playing dimensions
  • Define a relationship's cardinality and cross-filter direction
  • Design a data model that uses a star schema
  • Create a common date table

Develop a data model

  • Create calculated table
  • Create hierarchies
  • Create calculated columns
  • Implement row-level security roles
  • Use the Q&A feature

Create model calculations by using DAX

  • Create basic measures by using DAX
  • Use CALCULATE to manipulate filters
  • Implement Time Intelligence using DAX
  • Replace implicit measures with explicit measures
  • Use basic statistical functions
  • Create semi-additive measures
  • Use quick measures

Optimize model performance

  • Remove unnecessary rows and columns
  • Identify poorly performing measures, relationships, and visuals
  • Reduce cardinality levels to improve performance

Create reports

  • Add visualization items to reports
  • Choose an appropriate visualization type
  • Format and configure visualizations
  • Use a custom visual
  • Apply and customize a theme
  • Configure conditional formatting
  • Apply slicing and filtering
  • Configure the report page
  • Use the Analyze in Excel feature
  • Choose when to use a paginated report

Create dashboards

  • Manage tiles on a dashboard
  • Configure mobile view
  • Use the Q&A feature
  • Add a Quick Insights result to a dashboard
  • Apply a dashboard theme
  • Pin a live report page to a dashboard

Enhance reports for usability and storytelling

  • Configure bookmarks
  • Create custom tooltips
  • Edit and configure interactions between visuals
  • Configure navigation for a report
  • Apply sorting
  • Configure Sync Slicers
  • Group and layer visuals by using the selection pane
  • Drilldown into data using interactive visuals
  • Export report data
  • Design reports for mobile devices

Identify patterns and trends

  • Use the Analyze feature in Power BI
  • Identify outliers
  • Choose between continuous and categorical axes
  • Use groupings, binnings, and clustering
  • Use AI visuals
  • Use the Forecast feature
  • Create reference lines by using the Analytics pane

Manage Files and Datasets

  • Identify when a gateway is required
  • Configure a dataset scheduled refresh
  • Configure row-level security group membership
  • Provide access to datasets
  • Manage global options for files

Manage Workspaces

  • Create and configure a workspace
  • Assign workspace roles
  • Configure and update a workspace app
  • Publish, import, or update assets in a workspace
  • Apply sensitivity labels to workspace content
  • Configure subscriptions and data alerts
  • Promote or certify Power BI content

Certification

    • Participants who successfully complete the Microsoft Power BI Data Analytics course will receive a Course Completion Certificate from CloudThat.
    • a Course Completion Certificate from CloudThat. When individuals pass the PL-300 exam for Microsoft Power BI Data Analyst, they achieve Microsoft Certification.
    • Obtaining the PL-300 certification signifies the competency of individuals in the role of Data Analysts using Microsoft Power BI.
    • Earning the PL-300 certification will solidify your mastery in Power BI, encompassing skills such as data transformation, data modeling, and the creation of reports and dashboards.

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Lizzie Wakenya

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