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Description of  Fraud Detection & Fraud Analytics For Fraud Risk Management

Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.44 GB | Duration: 2h 40m Learn Behavioral Fraud Detection, Fraud Analytic, and Fraud Anomaly Detection What you'll learn Comprehend the basic concepts of fraud, its various types, and its significance in the business environment. Grasp the basics of behavioural analysis and fraud analytics, understanding their importance in effective fraud detection. Master the detection of behavioural indicators associated with fraud and learn to utilize behavioural analysis in real-world situations. Become proficient in the use of predictive modeling and data visualization for fraud detection, understanding the necessity of these techniques in fraud analyti Gain in-depth understanding of predictive modelling techniques for fraud detection and learn to apply advanced fraud analytics techniques. Understand the application of AI and Machine Learning in fraud detection, including real-world use cases, and appreciate the role of anomaly detection and big d Analyze real-world case studies that employed both behavioural analysis and fraud analytics, gaining a practical understanding of the concepts. Build a comprehensive fraud detection framework, understand prevention strategies, and implement a data-driven culture in an organization for effective fraud de Requirements To participate in this Certificate Program, you will need an electronic device with online video-viewing capabilities (e.g., smartphone, tablet, laptop, desktop computer, etc.). Although this is helpful, you will need no previous knowledge in compliance or anti-financial crime. A background in business, legal, or finance might also be beneficial but is not required. Description Overview Section 1: Introduction to this Program Lecture 1 Thank You & Welcome Lecture 2 Introduction Section 2: Understanding Fraud and the Basics of Behavioral Analysis and Fraud Analytics Lecture 3 Introduction to this Module Lecture 4 Understanding Fraud: An Overview Lecture 5 Basics of Behavioral Analysis Lecture 6 Basics of Fraud Analytics Lecture 7 The Importance of Behavioral Analysis and Analytics in Fraud Detection Lecture 8 Overview of Behavioral Indicators of Fraud Lecture 9 Introduction to Data-Driven Decision-Making in Fraud Detection Lecture 10 Module Summary Section 3: Behavioral Analysis and Fraud Analytics in Fraud Detection Lecture 11 Introduction to this Module Lecture 12 In-Depth: Behavioral Indicators of Fraud Lecture 13 Utilizing Behavioral Analysis in Fraud Detection Lecture 14 Case Studies: Behavioral Analysis and Fraud Detection Lecture 15 Overview of Predictive Modelling in Fraud Detection Lecture 16 Building a Fraud Prediction Model Lecture 17 Introduction to Data Visualization in Fraud Detection Lecture 18 Effective Data Visualization Techniques for Fraud Detection Lecture 19 Module Summary Section 4: Advanced Fraud Analytics Techniques Lecture 20 Introduction to this Module Lecture 21 In-depth: Predictive Modelling Techniques for Fraud Detection Lecture 22 Advanced Fraud Analytics Techniques Lecture 23 Machine Learning and AI in Fraud Detection Lecture 24 Application of AI and Machine Learning in Real-world Fraud Cases Lecture 25 Anomaly Detection in Fraud Analytics Lecture 26 The Role of Big Data in Fraud Analytics Lecture 27 Module Summary Section 5: Case Studies and Comprehensive Fraud Detection Framework Lecture 28 Introduction to this Module Lecture 29 Case Study Analysis: Combining Behavioral Analysis and Fraud Analytics Lecture 30 Building a Comprehensive Fraud Detection Process Framework Lecture 31 Prevention Strategies using Behavioral Analysis and Fraud Analytics Lecture 32 Implementing a Data-Driven Culture for Fraud Detection in an Institution Lecture 33 Regulatory and Ethical Considerations in Fraud Detection Lecture 34 Future of Fraud Detection: Trends and Challenges Lecture 35 Module Summary Section 6: Completing this Program Lecture 36 Course Summary