Fraud Detection in R

Starting at USD 39.00
4 hours duration

Learn to detect fraud with analytics in R.

According to the Association of Certified Fraud Examiners, organizations worldwide suffer an estimated $3.7 trillion in losses annually due to fraud. Additionally, it is common for a typical company to lose five percent of its annual revenue as a result of fraudulent activities. As the prevalence of fraud continues to rise, it becomes increasingly crucial for industries to prioritize fraud detection. This course aims to demonstrate how analyzing historical data can help identify patterns of fraud and effectively combat it. To achieve this, the course introduces techniques derived from robust statistics and digit analysis. These methods enable the detection of unusual observations that are often indicative of fraudulent behavior. However, building a reliable tool for fraud detection poses two significant challenges. Firstly, the data used for training such a tool is often imbalanced or skewed, making it difficult to accurately identify fraudulent instances. Secondly, different types of misclassification carry varying costs, further complicating the development of a supervised fraud detection system. To address these challenges, the course presents a range of techniques designed to overcome data imbalance and cost disparities. Moreover, the course emphasizes the application of these techniques to both artificial and real datasets sourced from diverse fraud scenarios. By exploring a wide variety of fraud applications, participants gain a comprehensive understanding of how to effectively detect and combat fraud in their respective industries.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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