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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.

4.7
19 Lessons
1h
Join 2.9 million developers at
Join 2.9 million developers at

Learning Roadmap

19 Lessons4 Quizzes

1.

Detecting Anomalies

Detecting Anomalies

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

2.

Analyzing A Server Log

Analyzing A Server Log

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

3.

Backtesting

Backtesting

5 Lessons

5 Lessons

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

4.

Improving Accuracy

Improving Accuracy

5 Lessons

5 Lessons

Apply your skills to improve anomaly detection accuracy using weighted mean, median, and MAD.
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Author NameSimple Anomaly Detection usingSQL
Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR

Haki Benita

Haki is a technical lead and a tech blogger interested in databases, web development, software design and performance tuning.

Learn more about Haki

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