This course provides a comprehensive introduction to fraud analytics using R and Microsoft Excel. It covers the most relevant techniques used in the real world by data analysts of companies around the world. Learners will gain an understanding of different types of fraud, the importance of fraud analytics, traditional fraud detection methods, and big data approaches to fraud detection, prevention, and analytics. A case study on credit card fraud detection is also included. This practical and quantitative course is perfect for anyone looking to gain a better understanding of fraud analytics.
Forensic Accounting: Fraud Investigation! (Course 2 of 4)
4.7
Udemy254 learners
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This course, Forensic Accounting: Fraud Investigation, is the second in a series of four courses. It is designed to help you learn how to prevent, detect, and correct fraud in your organization. Bite-sized, animated, cartoon-like video lectures make it easy and fun to learn. Each video is followed by a quiz and a real-life case to solve. Topics include tampering with checks, payroll frauds, expense reimbursement frauds, and register disbursements frauds. Enroll and learn like you never learned before! Perfect for those pursuing the Certified Fraud Examiner (CFE) certification.
Fraud Analytics in Banking and Credit using Machine Learning
2.4
Udemy6,779 learners
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This course provides a comprehensive overview of fraud analytics in banking and credit using machine learning. It covers topics such as fraud detection, risk analysis, rank functions, RHS constraints, VRS, CRS efficiency, loan status grades, beta value, predict value, performance values, and logistic regression algorithms. Through case studies and hands-on projects, you will gain a deep understanding of the robust internal controls and risk management systems in organizations. With this course, you will be able to detect frauds and develop effective fraud detection solutions through data science.
Fraud investigations and Forensic Audit
4.2
Udemy46 learners
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This course will provide you with the knowledge and skills to understand the motivations behind fraud and how to build an effective anti-fraud program. You will learn the difference between organized crime and occupational fraud, how to identify alleged fraud, and the legal implications of fraud investigation. You will also gain insight into the role of different professionals in the interdisciplinary fraud investigation team, the stages and instances of the research process, and the techniques used by the forensic auditor. By the end of the course, you will be able to create documents and a research report.
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