Cloud Academy - Advanced Analysis with Power BI

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Cloud Academy - Advanced Analysis with Power BI (Size: 1.7 GB)
  1. Introduction.mp4 64.8 MB
  1. Introduction.srt 1.9 KB
  10. Summary.mp4 241.4 MB
  10. Summary.srt 7 KB
  2. Overview.mp4 51.2 MB
  2. Overview.srt 1.4 KB
  3. Outlier Detection Demo.mp4 326.8 MB
  3. Outlier Detection Demo.srt 13.7 KB
  4. Anomaly Detection Demo.mp4 199.7 MB
  4. Anomaly Detection Demo.srt 9.1 KB
  5. Forecasting with Time Series Analysis Demo.mp4 86.5 MB
  5. Forecasting with Time Series Analysis Demo.srt 5.1 KB
  6. Groups and Bins Demo.mp4 304.1 MB
  6. Groups and Bins Demo.srt 8.5 KB
  7. Key Influencers Demo.mp4 125.2 MB
  7. Key Influencers Demo.srt 6.7 KB
  8. Decomposition Tree Demo.mp4 88.9 MB
  8. Decomposition Tree Demo.srt 5.4 KB
  9. AI Insights Demo.mp4 246.2 MB
  9. AI Insights Demo.srt 7.7 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 22 total files

Description


Cloud Academy - Advanced Analysis with Power BI
https://CourseWikia.com

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English + srt | Duration: 10 Lectures (1h 4m) | Size: 1.73 GB

Advanced Analysis with Power BI examines various methods for teasing out insights from data using statistical methodologies and presenting significant findings in visually compelling formats. The course starts with basic statistics such as standard deviation and then progresses to AI and machine learning analysis where Power BI does all the heavy lighting allowing the user to investigate and dynamically explore significant findings.

Learning Objectives
How to use Z-scores to display outliers and use the Outlier Detection visualization from Microsoft
How to use Power BI's Anomaly Detection and Fluctuation Analysis functionality
Use time-series forecasting to predict future data points with varying degrees of certainty
Use groups to classify categorical data and bins to categorize continuous data
Learn about Key Influencers
Use the Decomposition tree to drill down into a metric manually using known factors or let AI functionality determine which factors are the major contributors
Use the power of Azure's AI and machine learning to analyze text for positive and negative sentiment, keywords and phrases, and image tagging

Intended Audience
This course is intended for anyone who wants to discover insights hidden in their data.

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