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.

ruby.tar.gz

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.

Simple Anomaly Detection using SQL

# Introduction
An anomaly in a data series is a significant deviation from some reasonable value. Looking at this series of numbers. For example, which number stands out?


The number that stands out in this series is 12.

Get an introduction of anomalies in a dataset, and understand the usage of mean and standard deviation in identifying them. 

What are Anomalies?

Get an introduction of anomalies in a dataset, and understand the usage of mean and standard deviation in identifying them.

Detecting Anomalies

Analyzing A Server Log

Backtesting

Improving Accuracy

What are Anomalies?

Introduction