Exam Prep PL-300: Microsoft Power BI Data Analyst Associate

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Exam Prep PL-300: Microsoft Power BI Data Analyst This course is designed for professionals aiming to apply data analysis and business intelligence techniques using Microsoft Power BI. It equips learners with the skills to model, visualize, and analyze data efficiently, enabling data-driven decision-making. Participants will gain hands-on experience in data transformation, creating reports, and implementing security measures in Power BI. The specialization is divided into four key courses: Power BI: Data Analytics and Data Preparation Power BI: Data Modeling and Data Analysis Power BI: Data Visualization and Analysis Power BI: Data Secure, Governance, and Workspace Management Each course contains Modules, Lessons, and Video Items, along with Practice and Graded assignments that validate the candidate’s ability to grasp key concepts. This course aims to achieve the Microsoft Certified: Power BI Data Analyst Associate Certification, which validates your ability to: Prepare data using Power Query Model data for analytics Create impactful reports using Power BI visuals Analyze data with DAX functions and optimize performance Earning this certification positions you as a proficient Power BI Data Analyst, ready to drive business intelligence solutions.

Syllabus

Course 1: Power BI: Data Analytics and Data Preparation
Course 2: Power BI: Data Modeling and Data Analysis
Course 3: Power BI: Data Visualization and Analysis
Course 4: Power BI: Data Secure, Governance, and Workspace Management

Courses

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9 hours 39 minutes
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This course is designed to provide a comprehensive foundation in Microsoft Data Analytics, equipping learners with essential skills in Power BI for data-driven decision-making. Participants will begin by exploring data sources, understanding how to connect, manage, and optimize various datasets for analysis. The course progresses to data cleaning techniques, ensuring accuracy and consistency in raw data before visualization. Learners will gain expertise in data types and data combining, enhancing efficiency in integrating multiple datasets. Additionally, the course covers data transformation principles, allowing participants to refine and manipulate data for advanced modeling and reporting. This course is structured into multiple modules, each featuring lessons and video lectures that provide theoretical insights and hands-on practice. Participants will engage with approximately 3:00–4:00 hours of instructional content, ensuring both conceptual understanding and practical application. To reinforce learning, graded and ungraded assignments are included within each module to test the ability of learners in real-world scenarios. Module 1: Microsoft Data Analytics: Exploring Power BI Data Sources Module 2: Data Cleaning Techniques in Power BI Module 3: Data Types and Transformation Techniques in Power BI At the end of the course, learners will learn - Understand key concepts of the PL-300 certification and the role of a data analyst. - Learn to acquire, clean, and transform data using Power BI tools. - Develop proficiency in Power BI’s interface, modeling, and visualization. - Learn to manage columns and reduce rows for efficient data cleaning in Power BI. - Apply sorting, splitting, and replacing values to enhance dataset organization. - Utilize filters, including text, numerical, and date-based, for refined data analysis. - Develop practical skills for transforming raw data into structured insights in Power BI. - Understand different Power BI data types and their applications in data processing. - Learn to merge, append, and integrate datasets using various query techniques. - Apply transformation techniques like grouping, transposing, pivoting, and unpivoting for structured analytics. - Develop practical skills in error handling, renaming, and optimizing data workflows in Power BI This course is for Data Analysts, Data Engineers, Power BI Analyst, and Power BI Experts
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7 hours 45 minutes
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This course is designed to provide a comprehensive foundation in Power BI, equipping learners with the skills to model, analyze, and visualize data efficiently. Participants will begin by exploring calculated columns and tables, understanding their use cases in data modeling and performance optimization. The course progresses to advanced data modeling in Power BI, covering essential techniques like STAR schema design, model relationships, hierarchies, and role-playing dimensions to optimize data structures. Learners will gain expertise in DAX functions, including numerical calculations, measures, quick measures, and analytical queries, ensuring efficient data manipulation. Additionally, this course covers Power BI Desktop features, enabling participants to create calculation groups, work with DAX query view, and improve performance by reducing granularity. Features like date-time formatting, advanced settings in model view, and restricting access to model data are explored to enhance analytical capabilities. This course is structured into multiple modules, each featuring lessons and video lectures that provide both theoretical understanding and hands-on practice. Participants will engage with 3:00–4:00 hours of instructional content, reinforcing learning through graded and ungraded assignments, ensuring real-world applicability. Whether you're preparing for Power BI certification or seeking to optimize business intelligence workflows, this course equips you with the essential skills to master data modeling, DAX, and visualization for effective analytics. Module 1 - Optimizing Data Models and Performance with DAX in Power BI Module 2 - Power BI Data Modeling: STAR Schema, DAX, and Advanced Modeling Techniques The course is for the Data Managers, Data Analysts, Power BI Associates, and Power BI Experts
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6 hours 55 minutes
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This course is designed to provide a comprehensive foundation in Power Query and Power BI, equipping learners with the skills to transform, analyze, and visualize data efficiently. Participants will begin by exploring Power Query text and number functions, understanding key transformations such as formatting, merging, extracting, and statistical operations to structure raw data effectively. The course progresses to advanced data modeling in Power BI, covering essential techniques like fact and dimension tables, index columns, and custom column creation to optimize data relationships and queries. Learners will gain expertise in conditional column logic, row-level security, and workspace role management, ensuring controlled access and governance in Power BI environments. Additionally, this course covers dashboard and report creation, enabling participants to craft insightful visualizations with interactive elements. Features like Quick Insights, Semantic Model Modes, and configuration settings are explored to enhance analytical capabilities. This course is structured into multiple modules, each featuring lessons and video lectures that provide both theoretical understanding and hands-on practice. Participants will engage with approximately 3:00–4:00 hours of instructional content, reinforcing learning through graded and ungraded assignments, ensuring real-world applicability. Module 1 - Power BI: Power Query Editor with Functions and Columns Module 2 - Power BI: Governance and Semantic Model Management Whether you're preparing for Power BI certification or seeking to optimize business intelligence workflows, this course equips you with the essential skills to master Power Query and Power BI for effective data analysis and visualization. The course is for Power BI Security Analysts, Power BI Data Associates, Data Security Associates and Workspace Managers
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6 hours 36 minutes
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This course is designed to provide a comprehensive foundation in Power BI, equipping learners with the skills to visualize, analyze effectively, and present data insights. Participants will explore a variety of chart types, understand their applications, and optimize visual reporting for business intelligence. The course begins with an introduction to various bar and column charts, including stacked bar, stacked column, clustered bar, and clustered column charts, essential for comparative analysis. Learners will then progress to line charts, pie charts, funnel charts, scatter charts, and map charts, providing insights into trends, distributions, and geographical data. Participants will gain hands-on experience working with table and matrix visuals, understanding the role of filters and KPI visuals for tracking performance metrics. Special emphasis is placed on card visuals, report types in Power BI, and designing analytical report layouts for clarity and impact. Advanced visualization techniques, including ribbon charts, waterfall charts, and gauge charts, will be explored alongside methods for selecting appropriate report visuals. Additionally, learners will delve into integrated visuals, such as line and stacked column charts, line and clustered column charts, ensuring effective multi-dimensional analysis. This course is structured into multiple modules, each featuring lessons and video lectures that provide both theoretical understanding and hands-on practice. Participants will engage with 3:00–4:00 hours of instructional content, reinforcing learning through graded and ungraded assignments to ensure real-world applicability. Module 1 - Power BI Visualizations: Essential Charts for Data Storytelling Module 2 - Power BI Visualizations: KPI Insights and Reporting Whether you're preparing for Power BI certification or seeking to optimize business intelligence workflows, this course equips you with the essential skills to master visualization techniques and enhance data-driven decision-making. The course is for Business Managers, Data Analysis Managers, Digital Marketing Managers, Power BI Associates and Experts.