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Course Overview
Power BI PL-300 Exam Preparation
Course Content
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1. Introduction
9 Lessons
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Module Content
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0/9 Steps
0. Getting Started
1. PL-300 Training Course Overview
2. Exam Format
3. Power BI Overview
4. Building Blocks – Introduction
5. Building Blocks – Datasets
6. Building Blocks – Reports and Dashboards
7. Building Blocks – Visuals and Tiles
8. Microsoft Personas
2. Prepare the Data
18 Lessons
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1. Prepare the Data – Introduction
2. Data Sources – Introduction
3. Relational Databases
4. Data Sources – SQL Server
5. Data Sources – Files
6. Data Sources – JSON-APIs
7. Data Sources – Tabular Models
8. Data Sources – Dataverse
9. Data Sources – Dataflows
10. Data Sources – Parameters
11. Data Sources – Privacy Levels
12. Storage Modes
13. Query Performance
14. Data Import Errors
15. Profiling Data
16. Data Types
17. Append, Merge, and GroupBy
18. M Language and the UI
3. Model the Data
14 Lessons
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1. Model the Data – Introduction
2. Data Model Overview
3. Schema Types
4. Vertipaq Engine
5. Performance, Compression, and Speed
6. Table and Column Properties
7. Basic DAX Review
8. Role Playing Dimensions
9. Relationships
10. Calendar Tables
11. Semi Additive Measures
12. Statistical Functions
13. Optimise Model
14. Row Level Security – Part 1
4. Visualise
8 Lessons
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1. Choose the Right Visual
2. Themes
3. Creating Reports
4. AI Visuals
5. Online Reports
6. Dashboards
7. Report Enhancements
8. Identifying Patterns and Trends
5. Deploy and Maintain
5 Lessons
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1. Publish Reports
2. Ways to Create Dashboards
3. Manage Files and Datasets
4. Manage Workspaces
5. Row Level Security – Part 2
6. The Exam
2 Lessons
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1. How to Practice for the Exam
2. Before the Exam
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1 Lesson
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