UDEMY.NEW.PL.300.Microsoft.Power.BI.Data.Analyst.Associate.2026.BOOKWARE-MiMiR

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eBooks/Audiobooks

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MiMiR

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Date

2026-05-06

NFO

Mimir, Keeper of the Well of Wisdom
  
  [NEW] PL-300: Microsoft Power BI Data Analyst Associate 2026

  https://www.udemy.com/course/pl300-powerbi-certification-exam/

  Year         : 2026
  Language     : English
  Level        : All Levels
  Category     : IT & Software
  Subcategory  : IT Certifications
  Duration     : 26h 52m
  Lectures     : 178
  Rating       : 4.7/5 (745 reviews)
  Students     : 5,505

  INSTRUCTOR(S)


  HEADLINE
    Learn Power BI from Scratch: Visualize, Model, Analyze Data &
    Prepare for the PL-300 Certification Exam | 2026 edition!


  WHAT YOU'LL LEARN
  * Ace the PL-300 exam with theory, practical lectures and
    datasets included.
  * Master the complete Power BI workflow - from connecting to
    raw
    data to publishing polished, interactive reports
  * Build robust data models with relationships, hierarchies,
    and
    calculated tables
  * Write powerful DAX formulas to perform aggregations,
    calculations, and time intelligence analysis
  * Use advanced analytics features like Q&A visuals, bookmarks,
    drillthrough, and tooltips
  * Manage and secure Power BI assets with row-level security,
    workspaces, and deployment pipelines
  * Gain hands-on experience aligned with PL-300 exam domains,
    ensuring full certification readiness
  * Learn the latest Power BI interface ? so what you see in the
    course matches exactly what?s in your workspace


  REQUIREMENTS
  * Windows computer to install Power BI Desktop
  * Mac running a Parallels/UTM installation to emulate windows
    (paid license may be required)
  * Willingness to crack the Power BI PL-300 exam on the first
    attempt.
  * No prior Power BI experience needed, we'll cover everything
    from scratch.
  * Organizational / School account may be needed to get a Power
    BI Service trial.


  WHO IS THIS COURSE FOR
  * Aspiring Power BI Data Analysts preparing for the Microsoft
    PL-300 certification exam
  * Data professionals and business analysts who want to turn
    raw
    data into meaningful insights using Power BI
  * Excel users ready to transition from spreadsheets to
    dynamic,
    interactive dashboards
  * BI developers or reporting analysts looking to sharpen their
    DAX and data modeling skills
  * Students and recent graduates seeking a strong foundation in
    data analytics and visualization
  * Professionals switching to analytics or reporting roles and
    want a structured, hands-on learning path
  * Anyone who wants to analyze, visualize, and share data
    confidently using Microsoft?s leading BI tool


  DESCRIPTION
  Why This Course Works This course was built by a Power BI
    expert
  with 150,000+ learners across 50+ countries, known for
  simplifying complex topics into digestible, practical lessons.
  The curriculum is trusted by corporate teams at leading
  financial institutions and startups alike. Unlike other
    courses,
  this one goes beyond surface-level clicks and tutorials.
    You'll
  learn how and why Power BI works, build a report that mirrors
  real job scenarios, and prepare for certification with
    resources
  that reflect the actual exam format and content. By the end of
  this course, you'll be blown away by the amount of depth we
  cover and how every single nuance is touched upon. If you're
  serious about becoming a certified Power BI Data Analyst and
  unlocking new career opportunities in analytics, this is the
  course for you. Designed for working professionals, career
  switchers, and aspiring analysts alike, this course teaches
    you
  how to master Power BI from end to end - while preparing you
    to
  ace the Microsoft PL-300 certification exam with confidence.
    You
  won?t just watch tutorials - you?ll build a real, business-
    ready
  analytics solution using Power BI Desktop and Power BI
    Service.
  Along the way, you'll learn how to clean, model, analyze, and
  visualize data, and then deploy your reports and dashboards
  securely to the cloud. Every skill is taught with a clear use
  case, and every concept is tied back to the real PL-300 exam
  requirements. This isn?t a passive course. You?ll engage in
  hands-on development, apply concepts to real-world scenarios,
  and test your readiness with built-in quizzes, and
    downloadable
  resources, to mirror the actual certification experience. What
  You?ll Learn: 1) Data Preparation: Connecting and Transforming
  Connect to Excel, CSV, Web, and SQL data sources Choose
  appropriate storage modes (Import, DirectQuery) Clean messy
  datasets, split columns, and transform data using Power Query
  Use column profiling tools to detect issues before they impact
  your visuals 2) Data Modeling: Structuring and Calculating
  Design clean, optimized data models for performance and scale
  Establish table relationships and understand cardinality
    Create
  calculated columns and measures using DAX Apply aggregation,
  filter, and time intelligence functions Use calculation
    groups,
  variables, and performance optimization techniques 3) Data
  Visualization and Analysis: Telling the Story Design
  interactive, dynamic reports and dashboards using visual best
  practices Use slicers, filters, bookmarks, drill-throughs,
  tooltips, and KPI cards Apply AI visuals, Q&A natural language
  queries, and chart analytics tools Build business narratives
  that support decision-making 4) Deployment and Maintenance:
  Publishing and Sharing Publish reports to the Power BI Service
  Create and manage dashboards, workspaces, and apps Configure
  row-level security (RLS) and scheduled data refresh What?s
  Included: Enroll today and you?ll get lifetime access to: 27+
  hours of on-demand video lessons Downloadable Power BI project
  files and datasets Course slides Quizzes after each major
  section Access to the course Q&A forum and instructor support
    A
  certificate of completion to boost your resume or LinkedIn
  profile 30-day money-back guarantee If you want to go beyond
  basic dashboards and become a certified Power BI professional
    -
  this course is your launchpad. Enroll now and start building
    the
  skills that will define your data career.


  COURSE CONTENT

  Chapter 1: Introduction
    1. Download the datasets and course content
    2. Exam Syllabus walkthrough
    3. How to make the best use of this course?
    4. Imp: The Udemy Player
    5. Imp: Udemy Reviews
    6. Join our exclusive Discord Server

  Chapter 2: Setting up Power BI Desktop
    7. Installing Power BI Desktop
    8. Our first look at the interface
    9. Very Imp. - Enable all preview features

  Chapter 3: Power BI Lifecycle
    10. What is ETL?
    11. ETL in Power BI
    12. Power BI Lifecycle

  Chapter 4: Get or Connect to Data
    13. Connecting to a CSV File
    14. Imp. - Set the correct Locale to avoid errors
    15. Power Query Interface
    16. Renaming Fields and Data Types
    17. Column Data Quality
    18. Column Profile and Distribution
    19. Dropping and Preserving Rows and Columns
    20. Split Columns
    21. Format Tool
    22. Merge Columns
    23. Transform vs. Add Column
    24. Extract Tool
    25. Conditional Columns
    26. Duplicating Columns and Adding Indexes
    27. Date Tool
    28. Numerical Tools
    29. Statistics and Count Rows
    30. Append Queries
    31. Group By
    32. Pro Tip - Connect to a Folder!
    33. Change the Data Source Settings
    34. Loading a JSON File
    35. Creating Calculated/Custom Columns
    36. Quick Note on Custom Columns
    37. Enable / Disable Load
    38. Understanding Duplicate vs. Reference Queries
    39. Resolve data import errors
    40. Pro Tip - Wheel Icon in Applied Steps!
    41. Configure Data Loading Settings
    42. Bringing it all together!

  Chapter 5: Data Modelling
    43. Normalization
    44. Primary Keys
    45. Foreign Keys
    46. Fact and Dimension Tables
    47. Star Schema
    48. Snowflake Schema
    49. What's a Join?
    50. Merge Queries
    51. Cardinality
    52. Configuring our Data Model - Part 1
    53. Configuring our Data Model - Part 2
    54. Create our own Fact and Dimension Tables from a De-
        normalized dataset
    55. Understanding Data Source Privacy Levels
    56. Practical: Setting Privacy Levels
    57. Connecting to a Database
    58. Change Data Source Settings: Credentials
    59. Creating Parameters
    60. Choose between DirectQuery and Import Modes - Part 1
    61. Choose between DirectQuery and Import Modes - Part 2
    62. Composite Models and Dual Storage Mode
    63. Practical - DirectQuery, Import and Dual Storage Modes
    64. Configure table properties
    65. Configure column properties
    66. Understanding the Filter Direction - Theory
    67. Understanding the Filter Direction - Practical
    68. Auto-Date Time & Common Date Tables - Theory
    69. Common Date Tables - Practical
    70. Implement Role Playing Dimensions
    71. Note about Role Playing Dimensions

  Chapter 6: Visualizations and Formatting
    72. Important - Download the Blank file for our new semantic
        model
    73. Looking at our new semantic model
    74. Canvas Settings
    75. Cards for KPIs
    76. Pro Tip - Use the format painter
    77. Clustered Column/Bar Chart - Part 1
    78. Clustered Column/Bar Chart - Part 2
    79. Stacked Bar Chart + Ribbon Charts
    80. Line Charts - Part 1
    81. Line Charts - Part 2
    82. Line & Clustered Bar Chart
    83. Line & Stacked Bar Chart (Combo Chart)
    84. Area Chart & Stacked Area Chart
    85. Stacked Area Chart - Variation
    86. Pie Chart
    87. Donut Chart
    88. Treemap
    89. Gauge
    90. Scatter, Bubble and Dot Plot Chart
    91. Tables
    92. Matrix
    93. Apply conditional formatting
    94. Conditional Formatting - Imp. Note
    95. Format - Properties Tab
    96. Filters
    97. Glimpse of Power BI Service for Header Icons and Filters
    98. Slicers
    99. New Slicers - List, Button and Text
    100. Sync Slicers
    101. Apply and customize a theme
    102. Apply sorting to visuals
    103. Create custom tooltips
    104. Paginated Reports
    105. Summary of the different visuals

  Chapter 7: DAX
    106. What is DAX?
    107. Taking a look at DAX resources
    108. Calculated Columns using DAX
    109. Text functions - Part 1
    110. Text functions - Part 2
    111. Logical Functions - Part 1
    112. Logical Functions - Part 2
    113. RELATED() Function
    114. Understanding Implicit Measures
    115. Implicit Measures - Practical
    116. Explicit Measures - Theory
    117. Explicit Measures - Practical
    118. Create single aggregation measures - Part 1
    119. Create single aggregation measures - Part 2
    120. Use basic statistical functions
    121. Understanding Iterator Functions
    122. Use the CALCULATE() function
    123. KEEPFILTERS()
    124. REMOVEFILTERS() and ALL()
    125. ALLSELECTED()
    126. USERELATIONSHIP()
    127. Create calculated tables using DAX - Part 1
    128. Create calculated tables using DAX - Part 2
    129. Introduction to Time Intelligence in Power BI
    130. Implement Time Intelligence measures - Part 1
    131. Implement Time Intelligence measures - Part 2
    132. Implement Time Intelligence measures - Part 3
    133. Create Semi-additive measures
    134. Create Calculation groups
    135. Create a measure by using quick measures
    136. Create visual calculations by using DAX

  Chapter 8: Visualize and analyze the data
    137. Drill Down
    138. Edit and configure interactions between visuals
    139. Configure bookmarks
    140. Group and layer visuals by using the Selection pane
    141. Configure navigation for a report
    142. Configure drill through navigation
    143. Configure export settings
    144. Design reports for mobile devices
    145. Enable personalized visuals in a report
    146. Design and configure Power BI reports for accessibility
    147. Configure automatic page refresh

  Chapter 9: Optimization
    148. Identify poorly performing measures, relations, and viz
         using Perform Analyzer
    149. Improve performance by identifying and removing
         unnecessary rows and columns
    150. Improve performance by reducing granularity &
         optimizing data types
    151. Other optimization techniques / considerations

  Chapter 10: Identify patterns and trends
    152. Use the Analyze feature in Power BI
    153. Use grouping
    154. Use binning and clustering
    155. Use AI visuals + detect outliers and anomalies
    156. Use reference lines, error bars, and forecasting

  Chapter 11: Manage and Secure Power. BI
    157. Power BI Licensing
    158. Power BI Service interface walkthrough
    159. Create and configure a workspace
    160. Practical - Deploy a new workspace
    161. Assign workspace roles
    162. Configure item-level access
    163. Looking at semantic model configurations
    164. Connect to Sharepoint and trigger a refresh
    165. Identify when a gateway is required
    166. Download the On-Prem Data Gateway
    167. Configure a semantic model scheduled refresh
    168. Using Shared / Published semantic models
    169. Publish, import, or update items in a workspace
    170. Create dashboards
    171. Configure and update a workspace app
    172. Promote or certify Power BI content
    173. Apply sensitivity labels
    174. Implement row-level security roles (Static RLS)
    175. Implement row-level security roles (Dynamic RLS)
    176. Configure subscriptions and data alerts

  Chapter 12: Conclusion
    177. Congrats, you made it!

  Chapter 13: Bonus Section
    178. Bonus Lecture


  DATES
  Published    : 2025-10-19
  Last Updated : 2026-04-09

If you fear the truth, dont come to my well.

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