Simple Anomaly Detection using SQL

Simple Anomaly Detection using SQL

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.

Beginner

19 Lessons

1h

Certificate of Completion

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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Explanations

AI-POWERED

Explanations

This course includes

18 Playgrounds

This course includes

18 Playgrounds

Course Overview

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.

Course Content

1.

Detecting Anomalies

Learn how to use SQL and z-scores to detect and optimize anomaly detection.
2.

Analyzing A Server Log

Walk through server log analysis, data preparation, and anomaly detection to pinpoint issues.
3.

Backtesting

Work your way through backtesting anomalies with thresholds, eliminating repeats, and experimenting for optimal results.
4.

Improving Accuracy

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

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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