Curriculum For This Course
Video tutorials list
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Introduction
Video Name Time 1. What are we going to learn? 4:42 2. Installing Power BI Desktop 5:21 -
Part 1 Level 1: Creating and formatting a table visualization
Video Name Time 1. Welcome to Part 1: Visualizations 0:58 2. Importing from Excel, and Creating our first visualization 5:07 3. Viewing data 5:36 4. Focus mode and Different visualizations 3:06 5. Why do I need a Work email address? And how can I get one, if I don't have it? 6:10 6. Saving visualization to the Desktop and to the Power BI service 5:09 7. Practice Activity Number 1 - The Solution 07:23 -
Part 1 Level 2: Formatting our first visualization
Video Name Time 1. The New Format Pane 2:45 2. Formatting font and font size 4:53 3. Formatting colors 5:20 4. Stylistic options 6:47 5. Position visuals 5:45 6. Align visuals 4:34 7. Format Painter 2:45 8. Configuring summarization, both default and in a specific visualization 10:01 9. Changing number and date formatting 7:07 10. Custom number and date formatting 5:25 11. Practice Activity Number 2 - The Solution 7:59 -
Part 1 Level 3: Creating different visualizations: Martices and bar charts
Video Name Time 1. Matrix 7:01 2. Drill down data, see data and records, and export data 8:24 3. Stacked bar charts and switch theme for reports 6:52 4. Bar Chart formatting, including continuous versus categorical axes 4:47 5. Configure interactions between visual (Edit interactions) 8:32 6. Clustered and 100% Stacked bar charts 5:47 7. Line and area charts, including 8b. Configure duplicate pages 6:08 8. Combo charts (Line and column charts) 8:28 9. Practice Activity Number 3 - The Solution 7:42 -
Part 1 Level 4: Adding more control to your visualizations
Video Name Time 1. Adding Text boxes, Images and Shapes 9:02 2. Visual level, page level and report level filters - basic filters 6:58 3. Advanced Filtering 10:40 4. Filter Top N Items 5:28 5. Slicer 7:21 6. Synchronizing slicers to multiple pages 5:17 7. Slicer Warning 3:16 8. Sort visuals 7:25 9. Configure small multiples 8:22 10. Use Bookmarks for reports 6:11 11. ** Group and layer visuals by using the Selection pane 3:48 12. Drillthrough 10:59 13. Buttons and Actions 13:20 14. Enable Natural Language Queries (Ask A Question) and Page Formatting 8:14 15. Tooltip Pages 9:00 16. Page and Bookmark Navigator 6:14 17. Practice Activity Number 4 - The Solution 10:18 -
Part 1 Level 5: Other virtualizations
Video Name Time 1. Ribbon charts 6:22 2. Waterfall charts 8:03 3. Scatter, bubble and dot charts 10:08 4. Pie charts and donut charts 4:55 5. Treemaps 2:26 6. Funnel charts 2:44 7. Adding Marketplace visualizations (Import a Custom Visual) 3:05 8. Practice Activity Number 5 - The Solution 7:27 -
Part 1 Level 6: Mapping
Video Name Time 1. Maps 7:30 2. Formatting maps 4:46 3. Adding Data Categories 7:16 4. Filled Maps,Conditional Formatting, and color blindness 10:09 5. Creating hierarchies 8:24 6. ArcGIS Maps for Power BI 10:32 7. Practice Activity Number 6 - The Solution 12:45 -
Part 1 Level 7: Measure performance by using KPIs, gauges and cards
Video Name Time 1. Gauges 5:50 2. Cards and Multi-row cards 4:44 3. More conditional formatting 7:55 4. KPIs 4:14 5. Practice Activity Number 7 - The Solution 16:01 -
Part 1 Level 8: Other Visualization Items for the exam
Video Name Time 1. Define quick measures 7:16 2. Export report data 3:57 3. Create reference lines by using Analytics pane, including the Forecast feature 9:37 4. Use error bars 6:05 5. Identify outliers 3:23 6. ** Use clustering 3:40 7. Use Anomaly Detection 5:10 8. Use groupings and binnings 6:47 9. Use the AI Visual Key Influencers to explore dimensional variances 8:44 10. ** Use the Analyze feature in Power BI 5:39 11. Use the AI Visual decomposition tree visual to break down a measure 6:04 12. Creating a paginated report 6:00 13. Exploring Power BI Report Builder 6:53 -
Additional videos - Visualize and Analyze the data
Video Name Time 1. Design and configure for accessibility 5:45 2. Add a Smart Narrative visual 6:18 3. R and Python Visualizations 4:17 4. Use or create a PBIDS file 3:06 -
End of Part 1
Video Name Time 1. End of Part 1 1:05 -
Part 2 Get and Transform Data: Level 1- Home Part 1
Video Name Time 1. Welcome to Part 2: Get and Transform Data 1:48 2. Introduction - let's Get some more Data 4:51 3. Exploring the Power Query Editor interface 9:05 4. Introducing the M language 9:15 5. Let's start look at the Home tab 4:18 6. Home menu - Manage Columns 06:05 7. Home menu - Reduce Rows and Use First Row as Headers 07:26 8. Practice Activity Number 8 - The Solution 7:16 -
Part 2 Level 1- Get Data - Home
Video Name Time 1. Sort and Filter 5:52 2. Split Column 7:13 3. Other Transform activities 9:50 4. Practice Activity Number 9 - The Solution 6:10 -
Part 2 Level 2 - Getting Multiple files
Video Name Time 1. Merge Queries and Expand Table 6:07 2. Merge Queries with Group By, and different types of Joins 6:54 3. Appending two queries together 4:33 4. Appending three or more queries together + resolving a problem with data types 6:30 5. Combine Files (getting information from a folder) 9:17 6. Practice Activity Number 10 - The Solution 15:44 -
Part 2 Level 3 - Transform Menu
Video Name Time 1. Transform - Table and Any Column 5:27 2. Pivot Column 9:54 3. Unpivot 10:30 4. Practice Activity 11 - The Solution 7:07 5. Unpivot in conjunction with other Transform features 9:57 6. Practice Activity 12 - The Solution 5:39 -
Part 2 Level 4 - Transform - Text and Numbers
Video Name Time 1. Transform/Add Column - Text - Format 5:53 2. Transform/Add Column - Text - Merge Columns 7:40 3. Transform/Add Column - Text - Extract 6:53 4. Transform/Add Column - Text - Parse 10:57 5. Transform/Add Column - Number Column - Statistics and Standard 6:10 6. Transform/Add Column - Other Number Column functions 4:59 7. Practice Activity Number 13 - The Solution 12:58 -
Part2 Level 5 - Transform - Dates and Time
Video Name Time 1. Creating a list of dates 7:50 2. Transform/Add Column - Date 8:34 3. Transform/Add Column - Dates in other cultures/languages 8:45 4. Transform/Add Column - Time 6:26 5. Transform/Add column - Duration 3:14 6. Practice Activity Number 14 - The Solution 7:27 -
Part2 Level 6 - Add Colums, View and Help Menus
Video Name Time 1. Column from examples 13:19 2. Conditional Column 10:25 3. Resolving Errors from Conditional Columns 4:07 4. Index Column and Duplicate Column 3:42 5. Custom Column - If Then Else 9:00 6. Converting text from a different locale to a number 3:27 7. Practice Activity Number 15 - The Solution 9:46 -
Part2 Level 7 - View and Help menus and advanced functionality
Video Name Time 1. Other M Functions 5:40 2. View and Help menus, including Column Properties 5:24 3. Profile the data 02:22 4. Advanced Editor 4:17 5. Functions and Parameters 11:45 6. DateTimeZone date type and Functions 4:45 7. Worked Practice Activity Number 16 - Dividing Annual data into Months 11:03 -
Part2 Level 8 - Get other types of data
Video Name Time 1. Introduction to SQL Server 5:51 2. Importing database data into Power BI, and Query Folding 5:41 3. Select a storage mode 5:07 4. Expanding multiple tables in SQL Server 6:30 5. Importing data from SQL Server Analysis Services (SSAS) 5:49 6. Setting up Azure SQL Database 7:24 7. Using Azure SQL Database in Power BI 8:34 8. Use the Microsoft Dataverse 4:49 9. Configure data loading 4:24 -
Additional videos - Get and Transform
Video Name Time 1. * Automatic page refresh 5:17 2. * Using Big Data 6:16 3. * Resolve problems 5:28 4. * Identify query performance issues, including Query Diagnostics 4:37 5. * Apply AI Insights 5:20 -
End of Part2
Video Name Time 1. End of Part2 1:14 -
Part 3 Level 1: Creating a Data Model
Video Name Time 1. Welcome to Part 3 - Modeling and DAX functions 1:34 2. Get multiple data sets, and connecting them together 7:25 3. The problems with direction of relationships between data sets 10:42 4. Practice Activity Number 17 - The Solution 9:40 -
Part 3 Level 2: An introduction to DAX functions, including Logical functions
Video Name Time 1. DAX functions - A useful Resource 2:08 2. Calculated columns - an introduction 3:38 3. Basic operators 4:53 4. IF, BLANK and ISBLANK 8:32 5. AND, OR and NOT 4:10 6. SWITCH 4:21 7. Other functions 2:45 8. Practice Activity Number 18 - The Solution 13:09 -
Part 3 Level 3 -Statistical functions
Video Name Time 1. Measures - an introduction, with standard aggregations including Countblank 9:00 2. Aggregation of calculations 5:56 3. Other statistical functions 5:58 4. Practice Activity Number 19 - The Solution 7:34 -
Part 3 Level 4 - Mathematical functions
Video Name Time 1. Rounding functions 8:19 2. Division functions - MOD and QUOTIENT 2:55 3. SIGN (and use with SWITCH) and ABS 6:15 4. Exponential functions 2:31 5. Other functions 3:15 6. Practice Activity Number 20 - The Solution 5:30 -
Part 3 Level 5 - Text Functions
Video Name Time 1. Text searching 7:48 2. Text extraction and substitution 7:17 3. Text conversion 8:06 4. Other functions 2:17 5. Practice Activity Number 21 - The Solution 5:42 -
Part 3 Level 6 - Information Functions
Video Name Time 1. ISERROR and LOOKUPVALUE 5:22 2. Other functions 2:09 3. Practice Activity Number 22 - The Solution 4:08 -
Part 3 Level 7 - Filter and Value Functions
Video Name Time 1. RELATED - Flatten out a parent-child hierarchy 4:56 2. Design a data model that uses a star schema 10:58 3. RELATEDTABLE and COUNTROWS 6:29 4. Context 4:20 5. ALL 5:45 6. FILTER 3:11 7. CALCULATE 3:08 8. ALLEXCEPT 6:01 9. ALLSELECTED 9:01 10. Other functions 2:11 11. Practice Activity Number 23 - The Solution 8:30 -
Part 3 Level 8 - Time Intelligence Functions
Video Name Time 1. Date and Time Functions 2:50 2. FIRSTDATE, LASTDATE 3:06 3. Start of... and End of... 6:07 4. Previous... and Next... 5:36 5. DATESINPERIOD 4:08 6. DATESMTD, DATESQTD, DATESYTD, TOTALMTD, TOTALQTD, TOTALYTD 2:51 7. Opening Balance and Closing Balance 1:38 8. Semi-additive Measures 2:35 9. SAMEPERIODLASTYEAR and PARALLELPERIOD 3:16 10. Other Time Intelligence Functions 2:12 11. Practice Activity Number 24 - The Solution 10:06 -
Part 3 Level 9 - Other Modeling and DAX Topics for the exam
Video Name Time 1. Create calculated tables 6:00 2. Create a common date table 6:57 3. Define role-playing dimensions 6:45 4. Resolve many-to-many relationships - Joint Bank Accounts 6:05 5. Resolve many-to-many relationships - Different types of granularity 6:24 6. Improve cardinality levels through summarization and by changing data types 8:54 7. Identify poorly performing measures, relationships, and visuals 6:10 8. End of Part 3 0:56 -
Part 4 Section 1 - An Introduction to the Power BI Service
Video Name Time 1. Welcome to Part 4: The Power BI Service 0:22 2. Introducing The Power BI Service 3:56 3. Logging into Power BI Service and a quick look around 5:51 4. Power BI Terminology 11:11 5. Datasets and Reports in the Power BI Service 10:03 6. Get Data - Importing Your Data as a Dataset 8:42 7. Get Data - Importing your data as a Workbook 7:31 8. Other ways to Get Data 3:44 9. The Navigation Pane, including Add a Quick Insights result to a report 7:30 -
Part 4 Section 2 - Power BI Pro and adding users
Video Name Time 1. Signing up for Power BI Pro 5:47 2. Adding new users 8:27 3. Creating a new report 8:20 4. Sharing my new report 6:16 -
Part 4 Section 3 - Row Level Security
Video Name Time 1. Adding role-based Row Level Security 7:49 2. Adding Dynamic Row Level Security 10:08 3. Testing Dynamic Row Level Security in the Power BI Service 6:53 -
Part 4 Section 4 - Dashboards
Video Name Time 1. Differences between dashboards and reports 5:07 2. Manage Tiles on a Dashboard, Set Mobile View, and other Tiles options 5:00 3. Dashboards: Options 4:31 4. Configure Subscriptions 4:12 5. Pin a Live Report Page to a Dashboard 4:17 6. Use the Q&A Feature 2:56 7. Add a Dashboard Theme 6:24 8. Apply or Change Sensitivity Labels 6:34 9. Configure Data Alerts 4:53 -
Part 4 Section 5 - Manage datasets
Video Name Time 1. Analyze in Excel 5:52 2. Promote or Certify (Endorse) a Dataset 5:49 3. Manually Refreshing data in the Power BI Service 4:21 4. Data Gateways; Providing Access to Datasets 9:38 5. Configure a Dataset Scheduled Refresh 7:17 6. Configure Incremental Refresh Settings - Step 1 6:40 7. Configure Incremental Refresh Settings - Step 2 7:43 -
Part 4 Section 6 - Create and manage workspaces
Video Name Time 1. Create and Configure a Workspace 4:53 2. Assign Workspace Roles 5:23 3. Providing Access to Datasets 5:17 4. Configure and Update a Workspace App 13:17 5. Promote or certify Power BI report or app 2:18 6. Publish, Import or Update Assets in a Workspace - Publish securely 5:43 7. Publish reports on the web, so the public can see 7:27 -
Part 4 Section 7 - Other Power BI Service Topics
Video Name Time 1. Create a PivotTable from a Power BI dataset in Excel 4:38 2. Use or create a dataflow 7:56 3. Creating Scorecards and Metrics 7:40 4. Sharing Scorecards and Metrics 4:45 5. Using Scorecards and Metrics 5:24 -
Not needed for the PL-300 exam
Video Name Time 1. Implement Object-Level Security 6:41 2. Drillthrough from another report 6:57 3. Export Data 6:08 4. Recommend a Development Lifecycle Strategy 5:24 5. Identify downstream dataset dependencies 4:14 6. Personalize visuals 8:33 7. Dataflow Scheduled Refresh and Endorsement 1:28 8. Connect to a dataset using the XMLA endpoint 4:22 9. Configure large dataset format 2:09 10. Dashboard Data Classifications 5:23 -
End of Part 4
Video Name Time 1. End of Part 4 00:54 -
Well done
Video Name Time 1. That's almost it for the Power BI Service 1:27
PL-300: Microsoft Power BI Data Analyst Certification Training Video Course Intro
Certbolt provides top-notch exam prep PL-300: Microsoft Power BI Data Analyst certification training video course to prepare for the exam. Additionally, we have Microsoft PL-300 exam dumps & practice test questions and answers to prepare and study. pass your next exam confidently with our PL-300: Microsoft Power BI Data Analyst certification video training course which has been written by Microsoft experts.
PL-300: Microsoft Power BI Data Analyst Certification Training
Unlock the full potential of your data with our PL-300: Microsoft Power BI Data Analyst Certification Training. This hands-on course prepares you to confidently analyze, visualize, and share data insights using Microsoft Power BI, one of the most in-demand tools in business intelligence and data analytics today.
Whether you’re an aspiring data analyst, business intelligence professional, or simply want to boost your data visualization skills, this training will help you master the Power BI ecosystem — from data modeling to DAX calculations and report publishing.
Course Overview
The PL-300: Microsoft Power BI Data Analyst Certification course is designed for professionals who aim to transform raw data into actionable insights using Microsoft Power BI. In today’s data-driven business environment, organizations rely heavily on data analysts to make informed decisions. This course provides comprehensive knowledge of the Power BI platform, equipping learners with the skills necessary to clean, model, visualize, and share data effectively. Throughout the training, participants will gain practical experience in preparing datasets, creating robust data models, designing interactive reports, and applying best practices for governance and security.
Power BI is one of the leading business intelligence tools, widely used for its ability to handle large datasets, integrate with multiple data sources, and create dynamic dashboards. By the end of this course, learners will understand how to connect to various data sources, transform and clean data using Power Query, perform calculations with DAX, and develop insights that drive business performance. The course emphasizes hands-on learning through real-world projects and exercises, ensuring that participants are not only ready for the PL-300 exam but also capable of applying their skills in practical scenarios.
The course begins with a focus on data preparation and gradually progresses to advanced topics, including data modeling, visualization, analytics, and deployment. This structured approach ensures that learners build a solid foundation before tackling complex challenges. The PL-300 certification is recognized globally and serves as a valuable credential for professionals in business intelligence, data analysis, and related fields. Organizations often seek certified Power BI analysts to improve decision-making processes, enhance reporting capabilities, and optimize operational efficiency.
Participants in this course will also learn how to manage data security, implement row-level security, and optimize report performance. By understanding how to work with Power BI Service, learners will gain knowledge of publishing reports, sharing dashboards, and collaborating with other team members. This holistic approach ensures that learners are well-prepared to handle both technical and strategic aspects of data analysis.
With a combination of theoretical knowledge and practical application, the PL-300 course empowers learners to harness the full potential of Power BI. This enables them to generate actionable insights, influence business strategies, and contribute to organizational success. The course is suitable for individuals at various levels of experience, including those new to Power BI as well as professionals looking to enhance their analytical skills and achieve certification.
By the end of the course, learners will have a comprehensive understanding of Power BI’s core functionalities, including importing data, shaping and transforming datasets, building complex data models, performing calculations with DAX, designing interactive reports, and publishing insights to Power BI Service. These skills are critical for any professional seeking to advance their career in data analytics or business intelligence.
What you will learn from this course
Connect to and integrate data from multiple sources
Clean and transform raw data using Power Query
Create optimized data models for efficient analysis
Perform calculations using DAX formulas
Design interactive and insightful Power BI reports and dashboards
Implement advanced visualizations and analytics features
Apply row-level security and data governance best practices
Publish reports and dashboards to Power BI Service
Share insights and collaborate with team members effectively
Optimize report performance and manage datasets
Analyze trends, forecast results, and derive actionable insights
Leverage Power BI tools for self-service business intelligence
Understand the end-to-end process of data analysis in Power BI
Prepare for the PL-300 certification exam with confidence
Gain practical experience through hands-on projects and exercises
Learning Objectives
The primary objective of this course is to equip learners with the knowledge and skills required to become proficient in Microsoft Power BI and to successfully pass the PL-300 certification exam. By the end of the course, participants will be able to:
Prepare data from various sources for analysis, including databases, Excel files, cloud services, and online sources
Transform and clean data to ensure accuracy and reliability for reporting and analytics
Design and implement data models that support efficient and scalable analysis
Create calculated columns, measures, and tables using DAX functions
Build visually appealing and interactive reports and dashboards that provide actionable insights
Apply advanced analytics techniques, including forecasting, trend analysis, and key performance indicators
Publish reports and dashboards to Power BI Service for organizational sharing and collaboration
Manage security and access to datasets and reports using role-based and row-level security
Optimize report performance for faster rendering and efficient data processing
Develop a comprehensive understanding of best practices in data visualization and business intelligence
Understand how to monitor and manage Power BI content and workspace activities
Prepare effectively for the PL-300 exam by understanding exam objectives, format, and scoring criteria
These learning objectives ensure that participants acquire both the technical expertise and the practical experience necessary to excel as a Power BI data analyst. The course emphasizes real-world application and problem-solving to ensure that learners can confidently implement their skills in a professional setting.
Requirements
To get the most out of this course, participants should have:
Basic understanding of data concepts and business analytics
Familiarity with Microsoft Excel, including formulas, pivot tables, and charts
Knowledge of databases and data structures is helpful but not mandatory
Access to a computer with Microsoft Power BI Desktop installed
Willingness to engage in hands-on exercises and practice projects
Basic knowledge of business operations and reporting requirements
These requirements ensure that learners can follow the course content effectively and complete the practical exercises without technical difficulties. While prior experience with Power BI is not required, familiarity with basic data handling and analysis concepts will accelerate learning and enhance comprehension.
Course Description
The PL-300: Microsoft Power BI Data Analyst Certification course is a comprehensive, hands-on training program that provides in-depth knowledge and practical skills for aspiring data analysts and business intelligence professionals. The course is aligned with the latest PL-300 exam objectives and focuses on preparing participants for both the certification and real-world application of Power BI.
The training begins with an introduction to Power BI, covering the platform’s interface, key components, and overall workflow. Participants learn how to connect to various data sources, import data, and perform initial data cleaning and transformation using Power Query. Emphasis is placed on understanding the data preparation process, including handling missing data, merging tables, and creating calculated columns.
As learners progress, the course dives into data modeling techniques, including defining relationships between tables, creating star and snowflake schemas, and optimizing models for performance. The use of DAX is introduced to perform complex calculations, aggregate data, and create dynamic measures that drive meaningful insights.
The course then moves into data visualization, where participants learn to design interactive reports and dashboards. Training includes the use of charts, tables, slicers, and other visual elements to effectively communicate insights. Advanced topics such as bookmarks, tooltips, conditional formatting, and custom visuals are also covered to enhance report interactivity and engagement.
Participants also gain knowledge of analytics and business intelligence features in Power BI. This includes trend analysis, forecasting, key performance indicators, and advanced DAX functions to perform predictive analysis. The course emphasizes the practical application of these tools to derive actionable insights from complex datasets.
Deployment and sharing are critical aspects of the course. Participants learn how to publish reports and dashboards to Power BI Service, manage workspaces, configure row-level security, and share insights with stakeholders. Best practices for data governance, security, and performance optimization are also emphasized to ensure that learners can manage enterprise-level BI solutions effectively.
Hands-on projects and exercises are integrated throughout the course to reinforce learning and provide practical experience. By working on real-world scenarios, participants develop problem-solving skills and gain confidence in applying their knowledge to professional settings. The course is designed to be engaging, interactive, and aligned with industry standards, ensuring that learners are well-prepared for both certification and career advancement.
Target Audience
The PL-300 course is ideal for professionals looking to enhance their data analysis and business intelligence skills using Microsoft Power BI. This includes:
Data analysts who want to deepen their expertise in data visualization and modeling
Business analysts seeking to leverage Power BI for reporting and analytics
BI developers and data engineers who work with data models, dashboards, and analytics solutions
Professionals working in finance, marketing, operations, or other functions who require data-driven insights
Students and recent graduates aiming to build a career in data analytics or business intelligence
IT professionals looking to expand their skillset in business intelligence tools
The course is designed to accommodate learners at different skill levels, including beginners with basic data knowledge and experienced professionals seeking to formalize their Power BI expertise through certification. The practical, hands-on approach ensures that participants gain applicable skills that can be used immediately in their professional roles.
Prerequisites
Before enrolling in this course, participants should have:
Basic understanding of data analytics and reporting concepts
Familiarity with Microsoft Excel, including pivot tables, formulas, and charts
Understanding of basic database concepts such as tables, queries, and relationships
Access to a computer with Power BI Desktop and internet connectivity for online resources
Willingness to engage in hands-on exercises and practice scenarios
While no prior Power BI experience is required, having a foundation in data handling and analysis will help participants progress more quickly through the course. The prerequisites ensure that learners can focus on mastering Power BI functionalities without being hindered by fundamental knowledge gaps.
By meeting these prerequisites, learners will be prepared to fully engage with the course content, complete practical exercises, and build the skills necessary to succeed as a Microsoft Power BI Data Analyst.
Course Modules/Sections
The PL-300: Microsoft Power BI Data Analyst Certification course is organized into structured modules designed to provide a progressive learning experience. Each module focuses on a critical aspect of Power BI, ensuring that learners develop a comprehensive skill set that covers the entire data analysis lifecycle. The course begins with foundational concepts and gradually moves into more advanced techniques, allowing participants to build confidence while gaining practical experience.
The first module introduces the Power BI environment, helping learners become familiar with the interface, key features, and navigation. Participants explore the different components of Power BI, including Power BI Desktop, Power BI Service, and Power BI Mobile. This module emphasizes the importance of understanding how data flows through the platform, from importing raw data to publishing interactive dashboards.
The second module focuses on data preparation and transformation. Learners connect to various data sources such as Excel, SQL Server, Azure, and online services. Using Power Query, participants clean, transform, and shape data to ensure accuracy and consistency. This includes handling missing values, splitting columns, merging datasets, and performing advanced transformations. By the end of this module, learners understand the importance of clean and well-structured data for reliable analysis.
The third module covers data modeling. Participants learn how to create relationships between tables, build calculated columns, measures, and tables using DAX formulas, and design optimized data models. Emphasis is placed on creating star and snowflake schemas to support efficient reporting and analytics. Learners also explore best practices for data modeling, including performance optimization, proper use of hierarchies, and handling large datasets effectively.
The fourth module focuses on data visualization. Learners are guided through the process of designing interactive reports and dashboards that effectively communicate insights. They explore different chart types, tables, slicers, and KPIs, as well as advanced features such as tooltips, bookmarks, conditional formatting, and custom visuals. Practical exercises help participants understand how to choose the right visualizations to convey complex information clearly and concisely.
The fifth module emphasizes advanced analytics. Participants use DAX to perform complex calculations, trend analysis, and forecasting. This module also introduces key business intelligence concepts, such as KPIs, scorecards, and performance metrics, enabling learners to derive actionable insights from their datasets. Learners practice analyzing real-world business scenarios to develop problem-solving skills and analytical thinking.
The sixth module focuses on deployment and sharing. Participants learn how to publish reports and dashboards to Power BI Service, manage workspaces, implement row-level security, and share insights with stakeholders. The module also covers best practices for governance, data security, and report performance optimization, ensuring that learners understand how to deliver professional-grade business intelligence solutions.
Throughout the course, each module includes hands-on exercises, real-world projects, and assessments designed to reinforce learning. By progressing through these structured modules, participants build a complete understanding of Power BI functionalities and develop the practical skills required to excel in data analysis roles and achieve the PL-300 certification.
Key Topics Covered
The PL-300 course covers a wide range of topics to equip learners with end-to-end knowledge of Power BI. Participants gain both theoretical understanding and practical experience in the following areas:
Power BI platform components and navigation
Connecting to and importing data from various sources
Cleaning, transforming, and shaping data with Power Query
Data modeling techniques, including relationships, calculated columns, measures, and tables
Writing and optimizing DAX formulas for calculations and analysis
Designing interactive reports and dashboards
Advanced visualization features such as tooltips, bookmarks, and conditional formatting
Analytics techniques, including trend analysis, forecasting, and KPIs
Implementing row-level security and data governance best practices
Publishing, sharing, and collaborating on reports in Power BI Service
Performance optimization for large datasets and complex models
Real-world project-based exercises to reinforce practical skills
These topics are carefully aligned with the PL-300 certification objectives, ensuring that learners are fully prepared for the exam and capable of applying their skills in professional settings. The course provides a balance between foundational concepts and advanced techniques, catering to both beginners and experienced professionals seeking to enhance their Power BI expertise.
Teaching Methodology
The PL-300 training program employs a combination of instructional methods designed to maximize learning effectiveness. The teaching methodology blends theoretical instruction with practical application, ensuring that participants not only understand concepts but can also implement them in real-world scenarios.
Instructor-led sessions form the core of the methodology, providing participants with guided explanations, demonstrations, and insights from experienced Power BI professionals. These sessions help learners grasp complex concepts such as data modeling, DAX calculations, and advanced analytics techniques. Participants are encouraged to ask questions, engage in discussions, and participate in live demonstrations to reinforce their understanding.
Hands-on exercises and projects are an integral part of the teaching methodology. Learners apply the concepts taught during lectures to real-world datasets, creating reports, dashboards, and data models that simulate professional work environments. This experiential learning approach ensures that participants gain practical skills that can be applied immediately in their roles.
Interactive learning is emphasized through group activities, collaborative exercises, and peer-to-peer feedback. Participants work together on projects, share insights, and discuss solutions to complex problems. This collaborative approach not only enhances learning but also develops communication and teamwork skills, which are essential for data analysts working in organizational settings.
Self-paced learning components complement instructor-led sessions, allowing participants to review recorded lectures, access online resources, and practice exercises at their own pace. This flexible approach accommodates different learning styles and schedules, enabling participants to reinforce their knowledge outside of structured classroom time.
Assessment-driven learning ensures that participants track their progress throughout the course. Quizzes, assignments, and practical exercises are used to evaluate understanding and application of key concepts. Feedback from instructors helps learners identify areas for improvement and strengthens their readiness for the PL-300 certification exam.
Overall, the teaching methodology is designed to provide a comprehensive learning experience that combines knowledge acquisition, practical application, and skills assessment. Participants emerge from the course with a deep understanding of Power BI, the ability to perform advanced data analysis, and the confidence to succeed in professional roles and certification exams.
Assessment & Evaluation
Assessment and evaluation in the PL-300 course are structured to measure both theoretical understanding and practical proficiency in Power BI. The evaluation process ensures that participants develop the necessary skills to handle real-world data analysis tasks and succeed in the certification exam.
Participants are evaluated through a combination of quizzes, assignments, practical projects, and scenario-based exercises. Quizzes assess knowledge of key concepts such as data preparation, modeling, visualization, and DAX formulas. These quizzes provide immediate feedback, allowing learners to identify areas where further study or practice is needed.
Assignments and exercises focus on applying learned concepts to real datasets. Participants complete tasks such as cleaning and transforming data, building relationships between tables, creating calculated measures, and designing interactive dashboards. These exercises test practical skills and reinforce learning by simulating professional data analysis scenarios.
Project-based assessment is a critical component of the evaluation process. Learners work on comprehensive projects that integrate multiple aspects of Power BI, from data preparation to report deployment. These projects allow participants to demonstrate their ability to apply knowledge in a cohesive, real-world context, showcasing problem-solving, analytical thinking, and technical proficiency.
Instructors provide detailed feedback on assignments and projects, highlighting strengths, identifying areas for improvement, and offering guidance for further skill development. This feedback ensures that participants continuously refine their abilities and gain confidence in using Power BI effectively.
Scenario-based exercises simulate business challenges that analysts may encounter in professional environments. Participants are required to analyze complex datasets, generate insights, and present findings through interactive reports and dashboards. These exercises test critical thinking, decision-making, and communication skills, which are essential for data analysts in organizational roles.
The assessment and evaluation methodology aligns closely with the PL-300 exam objectives. By combining theoretical testing with practical application, participants develop a well-rounded skill set that ensures readiness for both certification and real-world data analysis tasks. Successful completion of assessments demonstrates proficiency in Power BI and prepares learners to take on data-driven roles in diverse industries.
Benefits of the course
The PL-300 course offers numerous benefits for learners seeking to enhance their skills in data analysis and business intelligence. Participants gain both technical expertise and practical experience that can significantly advance their careers.
One of the primary benefits is comprehensive knowledge of Microsoft Power BI. Participants learn how to connect to multiple data sources, clean and transform datasets, build data models, create complex DAX formulas, and design interactive reports and dashboards. This expertise enables learners to generate actionable insights and support data-driven decision-making within organizations.
The course also prepares participants for the PL-300 certification exam, a globally recognized credential. Achieving this certification validates a professional’s skills in data analysis, reporting, and business intelligence, enhancing employability and credibility in the field. Certified Power BI analysts are often in high demand across industries, and the credential can open doors to career advancement opportunities.
Hands-on learning is another significant benefit. Through practical exercises, projects, and scenario-based tasks, participants gain experience applying their knowledge to real-world datasets. This practical approach ensures that learners can immediately implement their skills in professional settings, contributing to organizational efficiency and effectiveness.
The course also emphasizes best practices in data governance, security, and performance optimization. Participants learn how to implement row-level security, manage workspaces, and optimize report performance, ensuring that they can deliver high-quality, secure, and efficient business intelligence solutions.
Additionally, the PL-300 course enhances critical thinking, problem-solving, and analytical skills. Learners develop the ability to analyze complex datasets, identify patterns and trends, and generate insights that drive strategic decisions. These skills are highly valued in data-driven organizations and contribute to long-term career growth.
Networking and collaboration opportunities are also a key benefit. Participants interact with instructors and peers, share insights, and collaborate on projects. This fosters a community of learning and professional connections that can support career development and knowledge sharing.
Overall, the course equips learners with the technical skills, practical experience, and professional recognition needed to excel as a Power BI data analyst and advance their careers in business intelligence and data analytics.
Course Duration
The PL-300 course is structured to provide a comprehensive learning experience within a manageable timeframe. Typically, the course duration ranges from 40 to 60 hours, depending on the learning format and pace. Instructor-led programs may span several weeks with scheduled sessions, while self-paced options allow participants to progress according to their own schedules.
The course is designed to balance theoretical instruction with practical exercises. Learners spend time on lectures, demonstrations, and discussions, followed by hands-on labs and projects. This combination ensures that participants not only understand concepts but also develop the practical skills needed to apply their knowledge effectively.
Flexible learning options accommodate different professional schedules and learning preferences. Participants can choose from intensive bootcamp-style programs or extended courses that provide additional time for practice and mastery. The duration is sufficient to cover all essential topics, including data preparation, modeling, visualization, analytics, deployment, and governance.
Tools & Resources Required
To successfully participate in the PL-300 course, learners require access to certain tools and resources. Microsoft Power BI Desktop is the primary application used for data analysis, visualization, and report creation. Participants also need access to Power BI Service for publishing and sharing dashboards, as well as a computer with adequate processing power and internet connectivity.
Familiarity with Microsoft Excel is highly recommended, as many concepts in Power BI build on Excel skills such as formulas, pivot tables, and charts. Access to sample datasets and practice exercises is provided as part of the course resources. Online tutorials, reference guides, and documentation support self-paced learning and reinforce instructor-led sessions.
Participants may also benefit from supplementary tools such as SQL Server or Azure databases, depending on the scope of data sources explored during the course. These resources enable learners to connect to diverse datasets and gain practical experience working with real-world business data.
Career Opportunities
Completing the PL-300 course and obtaining Microsoft Power BI Data Analyst certification opens up a wide range of career opportunities in the field of data analysis and business intelligence. Certified professionals are highly sought after in industries including finance, marketing, healthcare, retail, manufacturing, and technology.
Job roles that benefit from this certification include data analyst, business intelligence analyst, BI developer, reporting specialist, data consultant, and business analyst. Professionals in these roles are responsible for transforming raw data into actionable insights, creating interactive dashboards, and supporting strategic decision-making within organizations.
Organizations value certified Power BI analysts for their ability to improve data-driven decision-making, optimize reporting processes, and deliver high-quality business intelligence solutions. The skills gained through this course also enhance opportunities for career advancement, higher salaries, and leadership roles in analytics teams.
In addition to traditional roles, PL-300 certification equips learners for freelance or consultancy opportunities, allowing them to provide Power BI services to multiple organizations. The versatility of Power BI skills ensures that certified professionals can adapt to evolving business needs and emerging technologies in data analytics.
The certification also positions learners for further specialization in advanced analytics, data engineering, and business intelligence architecture, creating a pathway for continuous professional development and career growth in the data domain.
Enroll Today
Taking the step to enroll in the PL-300: Microsoft Power BI Data Analyst Certification course is an investment in your professional growth and future career opportunities. By joining the course, you gain access to comprehensive training that covers every aspect of Power BI, from data preparation and modeling to advanced analytics and interactive reporting. Participants benefit from hands-on exercises, real-world projects, and guidance from experienced instructors, ensuring that you not only master the platform but also develop practical skills that can be applied immediately in the workplace. Enrolling today allows you to start building your expertise, prepare effectively for the PL-300 certification exam, and position yourself as a qualified, certified Power BI data analyst capable of delivering actionable insights and driving data-driven decision-making in any organization.
Certbolt's total training solution includes PL-300: Microsoft Power BI Data Analyst certification video training course, Microsoft PL-300 practice test questions and answers & exam dumps which provide the complete exam prep resource and provide you with practice skills to pass the exam. PL-300: Microsoft Power BI Data Analyst certification video training course provides a structured approach easy to understand, structured approach which is divided into sections in order to study in shortest time possible.
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