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

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

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