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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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?


# 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?


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