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Simple Anomaly Detection using SQL
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Gain insights into using SQL for anomaly detection. Delve into applying mean, standard deviation, and z-score to identify and investigate data anomalies, enhancing your analytical skills.

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Overview

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Learn how to identify anomalies in your data using SQL. Understand how to apply mathematical concepts such as mean, standard deviation, and z-score to detect when an anomaly occurred in your data and how to investigate past data to improve and refine the model.

Learn how to identify anomalies in your data using SQL. Understand how to apply mathematical concepts such as mean, standard dev...Show More

Content

19 Lessons4 Quizzes

Detecting Anomalies

5 Lessons

Learn how to use SQL and z-scores to detect and optimize anomaly detection.

Introduction

What are Anomalies?

Understanding Z-score

Optimizing Z-score

Quiz 1

Analyzing A Server Log

4 Lessons

Walk through server log analysis, data preparation, and anomaly detection to pinpoint issues.

Getting a Sense of the Data

Preparing the Data

Identifying Anomalies

Quiz 2

Backtesting

5 Lessons

Work your way through backtesting anomalies with thresholds, eliminating repeats, and experimenting for optimal results.

Finding Past Anomalies

Adding Thresholds

Eliminating Repeating Alerts

Experiment with Different Values

Quiz 3

Improving Accuracy

5 Lessons

Apply your skills to improve anomaly detection accuracy using weighted mean, median, and MAD.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Haki Benita

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Simple Anomaly Detection using SQL Save

Simple Anomaly Detection using SQL
Save