Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
PL-300:Microsoft Power BI Data Analyst Associate Course 2026
Rating: 5.0 out of 5(7 ratings)
129 students

PL-300:Microsoft Power BI Data Analyst Associate Course 2026

Pass Microsoft Power BI Data Analyst Associate (PL-300) with hands-on demos | 300+ Practice Test Questions
Created byCloud Guru Amit
Last updated 7/2026
English
English [Auto],

What you'll learn

  • Gain the ability to connect to multiple data sources and configure privacy, credentials, and query modes.
  • Learn to clean, profile, and transform raw data into structured fact and dimension tables.
  • Master advanced query techniques including merge, append, pivot, unpivot, and transpose operations.
  • Build optimized data models with relationships, cardinality, cross-filtering, and role-playing dimensions.
  • Detect patterns, trends, and anomalies using AI visuals, clustering, forecasting, and outlier detection.
  • Apply best practices for accessibility, personalization, and secure sharing of Power BI content.
  • Implement governance with row-level security, sensitivity labels, and item-level access controls.
  • Configure workspaces, apps, dashboards, and distribution methods for effective collaboration.
  • Practice Tests to boost exam readiness.

Course content

2 sections • 66 lectures • 7h 6m total length

  • Power BI Desktop Setup Hands-On0:57
  • DirectLake0:52
  • DirectQuery0:52

    Discover DirectQuery, a live Power BI connection that runs real-time queries without storing data in Power BI, delivering up-to-date insights for datasets with performance depending on the source system.

  • Direct Query Hands-On4:52

    Demonstrate direct query in Power BI by creating a lake house workspace, connecting via Power BI desktop, and loading data from a sample public holidays dataset.

  • Import modes0:48

    Import modes load data into Power BI's in-memory storage, enabling reports to query cached data for fast, interactive dashboards, with scheduled refreshes updating data from source to stay current.

  • Parameters1:03
  • Privacy levels0:54

    Explore privacy levels in Power BI, using three gates to control data merging. Enforce rules to keep public data flowing, organizational data internal, and log private data to prevent exposure.

  • Privacy levels Hands-On2:23
  • Statistics1:04

    Explore statistics in Power BI to summarize column values, including counts, distinct values, minimums, maximums, and averages, and use these insights to detect data quality issues and outliers before analysis.

  • Column properties0:49

    Discover how column properties act as containers with labels, defining data type, length, and nullability to ensure consistent, accurate profiling, cleaning, and reliable analysis in Power BI.

  • Statistics & Column properties Hands-On8:36

    Learn to analyze statistics and column properties in Power BI desktop and online, importing CSV data, using column profile, distribution, and quality, and interpreting empty and distinct values.

  • Handling nulls0:44

    Identify and address nulls in a Power BI dataset to prevent joins from breaking and calculations from distorting results. Drop, replace, or impute nulls to maintain clean pipelines and analytics.

  • Inconsistencies1:06

    Explore data inconsistencies in Power BI, where format, spelling, or value mismatches—like USA versus United States—break relationships and distort aggregations, and learn to detect and standardize for clean, reliable reporting.

  • Handling nulls and Inconsistency Hands-On10:40

    Learn end-to-end data cleaning in Power BI desktop by handling nulls, inconsistency, and data quality issues; replace nulls, fix types, remove duplicates, and validate results in a transformed table.

  • Import errors0:51
  • Import errors Hands-On4:49

    Apply data type enforcement in Power BI desktop via Power Query Editor to fix date and sales columns, replace errors, and load clean data into the model.

  • Pivot/Unpivot0:55
  • Pivot-Unpivot Hands-On4:10
  • Transpose0:52

    Learn how to transpose in Power BI, flipping rows and columns to reshape data for analysis, align values with headers, and prepare datasets for accurate reporting.

  • Transpose Hands-On3:00

    Master the transpose trick in Power BI: transpose data in Power Query editor, then use first row as headers to convert months from rows to columns, and apply changes.

  • Grouping0:47

    Group transactions by category such as region or product, then apply aggregation functions like sum or average to reveal clear insights and reduce data complexity.

  • Aggregation0:47
  • Grouping and Aggregation Hands-On2:05
  • Column creation1:13
  • Column creation Hands-On4:01

    Create a new column in Power BI Desktop using the Power Query Editor to calculate total sales (quantity times unit price) and a 20% profit in the data model.

  • Converting JSON to tables1:09

    Learn to convert JSON to tables by flattening semi-structured data into rows and columns in Power BI, turning keys into headers and values into cells.

  • Converting JSON to tables Hands-On1:18

    Convert semi-structured json data into a table by loading json with get data, connecting in Power BI Desktop, and applying changes to expose order id, customer, city, items, and price.

  • Converting XML to table0:57
  • Converting XML to tables Hands-On1:49

    Convert XML to tables in Power BI by loading an XML file, using get data, Power Query Editor, and verify numeric ID and text country in a sample customer table.

  • Star schema basics1:17

    Understand star schema basics by examining the central fact table connected to product, customer, and date dimensions, enabling faster queries and simpler, more intuitive analysis.

  • Keys for relationships1:01

    Explore how a unique customer ID acts as a primary key in the customer table and as a foreign key in the transactions fact table.

  • Keys for relationships Hands-On3:11
  • Reference vs Duplicate Queries0:59

    Learn the difference between reference and duplicate queries in Power BI, where reference queries share transformations and update with the original, while duplicates become standalone copies you can modify independently.

  • Reference vs Duplicate Queries Hands-On3:48

    Demonstrates reference vs duplicate queries in power query editor using a csv file; duplicate creates an independent copy, while reference links to the source and reflects changes for branching logic.

  • Merge/Append Queries1:07

    Discover how to merge and append queries in Power BI by matching a common column and stacking datasets with the same structure into a single table.

  • Merge-Append Queries Hands-On5:30

    Learn to use append and merge queries in Power BI to combine data: append stacks rows from sales 2024 and 2025, while merge joins with products to add columns.

Requirements

  • Basic understanding of data concepts such as tables, rows, columns, and relationships.
  • No prior Power BI experience required, but exposure to any BI or reporting tool is helpful.

Description

Are you ready to become a certified Microsoft Power BI Data Analyst Associate (PL-300) and unlock the power of data-driven decision making? This comprehensive course is designed to help you master every skill required to pass the PL-300 exam and excel as a Power BI professional.


You will learn how to prepare, model, visualize, analyze, manage, and secure data in Power BI through a perfect blend of theory and hands-on demonstrations. From connecting to diverse data sources, handling nulls and inconsistencies, transforming JSON/XML into tables, to building optimized data models with DAX and Power Query — this course covers it all.

We’ll guide you step by step through creating impactful dashboards, applying conditional formatting, using Copilot for report generation, implementing row-level security, and managing workspaces for collaboration. You’ll also gain practical experience with advanced features like role-playing dimensions, cardinality, cross-filtering, and AI-powered visuals to detect patterns and anomalies.


To ensure exam success, the course includes 300+ practice test questions with detailed video explanations for both correct and incorrect answers, using the method of elimination backed by Microsoft documentation. This unique approach helps you understand not just the “what,” but the “why” behind each answer.


By the end of this course, you’ll be equipped with the confidence and skills to deliver actionable insights, empower self-service analytics, and achieve your PL-300 certification — opening doors to exciting career opportunities in data analytics.

Who this course is for:

  • Aspiring data analysts who want to build career-ready skills in Power BI.
  • Business professionals seeking to deliver actionable insights through interactive dashboards and reports.
  • Excel users looking to transition into advanced business intelligence and data visualization.
  • IT and database professionals who want to expand into analytics and reporting with Power BI.
  • Managers and decision-makers who need to interpret data and enable self-service analytics in their teams.
  • Data engineers and analytics engineers collaborating with analysts to prepare and model data.
  • Anyone interested in transforming raw data into meaningful business value using Microsoft Power BI.

Report abuse