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

Is the below statement true or false:

_"When preparing a time series for analysis, we need to make sure there are no gaps in the series"_

Is the below statement true or false:
“When preparing a time series for analysis, we need to make sure there are no gaps in the series”

Is the below statement true or false:

_"We can detect all types of anomalies just by looking at a chart"_

Is the below statement true or false:
“We can detect all types of anomalies just by looking at a chart”

Is the below statement true or false:

_"To identify anomalies we need to use past information"_

Is the below statement true or false:
“To identify anomalies we need to use past information”

Detecting Anomalies

Analyzing A Server Log

Backtesting

Improving Accuracy

Quiz 2