Udemy - Essentials of Power BI - Get Started with Data Analysis

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[ CourseMega.com ] Udemy - Essentials of Power BI - Get Started with Data Analysis
  • Get Bonus Downloads Here.url (0.2 KB)
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    • 1. Introduction to Power BI and Data Tools.mp4 (31.3 MB)
    • 1. Introduction to Power BI and Data Tools.srt (11.7 KB)
    • 10. Creating More Measure, Data Visualisation and Sharing in POWER BI Service.mp4 (357.2 MB)
    • 10. Creating More Measure, Data Visualisation and Sharing in POWER BI Service.srt (52.0 KB)
    • 2. Power BI Tools.mp4 (92.4 MB)
    • 2. Power BI Tools.srt (18.8 KB)
    • 3. Data Modelling.mp4 (99.3 MB)
    • 3. Data Modelling.srt (16.0 KB)
    • 4. Build Visuals With Your Data.mp4 (139.3 MB)
    • 4. Build Visuals With Your Data.srt (22.6 KB)
    • 5. How To Analysis Data Building.mp4 (94.0 MB)
    • 5. How To Analysis Data Building.srt (16.7 KB)
    • 6. Tables Structure In Data Analysis.mp4 (141.9 MB)
    • 6. Tables Structure In Data Analysis.srt (26.7 KB)
    • 7. Tables Structure In Data Analysis part II.mp4 (190.9 MB)
    • 7. Tables Structure In Data Analysis part II.srt (32.7 KB)
    • 8. Measure Explicit and Implicit.mp4 (28.2 MB)
    • 8. Measure Explicit and Implicit.srt (6.5 KB)
    • 9. How To Create Date Table.mp4 (139.6 MB)
    • 9. How To Create Date Table.srt (19.5 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Essentials of Power BI - Get Started with Data Analysis



https://CourseMega.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 10 lectures (3h 23m) | Size: 1.31 GB

Learn fundamentals, creating project from scratch and follow along

What you'll learn
Essentials of Power BI
Import Data and Model via Power Query
Data Visualisation principals
Explicit and Implicit measures in Power BI and how to use in data analytics

Requirements
you need to install power BI desktop



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Udemy - Essentials of Power BI - Get Started with Data Analysis


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1.3 GB
seeders:7
leechers:4
Udemy - Essentials of Power BI - Get Started with Data Analysis


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