Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
Anomalies are present in almost any dataset, and it is critical to detect and deal with them before continuing statistical exploration. This course will teach you to use Python for various anomaly detection methods. You'll visually identify outliers and apply statistical methods and techniques for univariate and multivariate data. Additionally, you'll discover how to combine multiple outlier classifiers for a reliable final estimate. Adding this skill to your existing Python repertoire will help you with data cleaning, fraud detection, and identifying system disturbances.
Anomalies are present in almost any dataset, and it is critical to detect and deal with them before continuing statistical exploration. This course will teach you to use Python for various anomaly detection methods. You'll visually identify outliers and apply statistical methods and techniques for univariate and multivariate data. Additionally, you'll discover how to combine multiple outlier classifiers for a reliable final estimate. Adding this skill to your existing Python repertoire will help you with data cleaning, fraud detection, and identifying system disturbances.
