Outlier Detection Demo [Video]

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Hallam Webber

1:03:31

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1. Introduction.mp4

01:27

2. Overview.mp4

01:14

3. Outlier Detection Demo.mp4

13:30

4. Anomaly Detection Demo.mp4

08:10

5. Forecasting with Time Series Analysis Demo.mp4

04:43

6. Groups and Bins Demo.mp4

08:58

7. Key Influencers Demo.mp4

06:43

8. Decomposition Tree Demo.mp4

05:22

9. AI Insights Demo.mp4

07:46

10. Summary.mp4

05:38

Description

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 lesson 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 lesson is intended for anyone who wants to discover insights hidden in their data.

Prerequisites

Have a basic understanding of statistics, like knowing the difference between a mean and median, a normal distribution, and conceptually how standard deviation is related to that
Know how to connect a data source, load data, and generally use the Power BI Desktop and Power Query Editor environments
AI Insights demonstration requires a PowerBi.com premium account

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Data Science

Microsoft Power BI

Hallam Webber

Instructor's Courses

Hallam is a software architect with over 20 years experience across a wide range of industries. He began his software career as a Delphi/Interbase disciple but changed his allegiance to Microsoft with its deep and broad ecosystem. While Hallam has designed and crafted custom software utilizing web, mobile and desktop technologies, good quality reliable data is the key to a successful solution. The challenge of quickly turning data into useful information for digestion by humans and machines has led Hallam to specialize in database design and process automation. Showing customers how leverage new technology to change and improve their business processes is one of the key drivers keeping Hallam coming back to the keyboard.

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