Anomaly detection in data science identifies unusual patterns that deviate from the norm. It is crucial for fraud detection, cybersecurity, and healthcare, using statistical, machine learning, and deep learning techniques to improve decision-making.

Introduction In 2025, the need for automation in software testing has never been greater. With organizations adopting Agile and DevOps practices for faster releases and high-quality software, the role of automated testing tools has become indispensable. These tools help to accelerate testing cycles, improve accuracy, and maintain software quality across frequent releases. Below are some of the best automation testing tools in 2025 that are perfect for fast-paced development environments.Selen...

Introduction Data Analytics has emerged as one of the most sought-after fields in today’s job market. As businesses increasingly rely on data to drive decision-making, the demand for skilled professionals in data analytics has grown. However, before you embark on the certification journey, it’s essential to understand the requirements involved.Key Requirements for Earning a Data Analytics CertificationHere’s a comprehensive look at the key requirements for earning a Data Analytics certificati...