Fraud Risk Analytics And Prevention

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Detect & Prevent Fraud Smartly

Last updated 2022-01-10 | 4.2

- What is fraud
- How to detect fraud
- How to prevent fraud

What you'll learn

What is fraud
How to detect fraud
How to prevent fraud
What is fraud triangle
What is Benford Law
How to use excel to detect fraud
How AI is helping in detecting fraud
How to assess an organization for its maturity on fraud prevention
How to find anomalies in a dataset
How to programmatically detect fraud
How to apply unsupervised learning to detect fraud
How to apply supervised learning to detect fraud

* Requirements

* None

Description

  • What is fraud
  • How to detect fraud
  • How to prevent fraud
  • What is fraud triangle
  • What is Benford Law
  • How to use excel to detect fraud
  • How AI is helping in detecting fraud
  • How to assess an organization for its maturity on fraud prevention
  • How to find anomalies in a dataset
  • How to programmatically detect fraud
  • How to apply unsupervised learning to detect fraud
  • How to apply supervised learning to detect fraud

Course content

13 sections • 41 lectures

Introduction 1 lectures

Introduction Preview 02:16

Understanding characteristics of fraud 1 lectures

Understanding fraud Preview 03:39

Framework to assess fraud maturity 2 lectures

Framework to assess fraud maturity Preview 02:41

Assess Fraud Risk Management Maturity

This exercises helps you to 1) assess the maturity of an organization in managing fraud risk and 2) understand the different facets of fraud risk management. Please complete this assignment before going to other sessions and please refer to this framework as you go through rest of the course.

Understanding different types of Fraud 2 lectures

Types of fraud Preview 06:08

Types of fraud in different processes and sectors Preview 08:38

Fraud Analytics: Core techniques to detect fraud easily 5 lectures

Snapshot of fraud detection Preview 02:01

Fundamental Rules in fraud detection Preview 04:37

Benford Law Preview 03:09

Concept of Standard Deviation to detect fraud Preview 02:25

Outlier detection using Box Plot Preview 02:42

How to use Excel to detect Fraud 4 lectures

How to do Ageing Analysis in Excel Preview 05:08

In addition to using for ageing analysis, this dataset can be used for practicing Pareto chart, Benford law and box plot as well.

How to create Pareto Chart in Excel Preview 03:06

How to apply Benford Law Using Excel Preview 03:44

How to create box plot in excel and identify outliers Preview 01:30

Fraud Analytics: Power of AI 6 lectures

Power of AI Preview 17:36

Introduction to AI Preview 02:35

Move over traditional methods Preview 03:13

Anomaly Detection Preview 03:16

AI Case Study Preview 05:42

Image and Video Analytics Preview 02:38

Anomaly Detection Using Power BI 1 lectures

Anomaly Detection Using Power BI Preview 06:12

Managing Fraud - Actions to prevent fraud 4 lectures

Insights about fraud - How to plan better? Preview 03:04

Fraud Triangle Preview 02:11

Core Actions to Prevent Fraud Preview 05:08

Actions for Work From Home Challenges Preview 02:59

Process Approach to detect and prevent fraud 2 lectures

Process Approach to detect and prevent fraud Preview 02:08

Cause Vs Root Cause and Mistake Proofing Preview 02:28

Cost recovery 1 lectures

Cost recovery Preview 04:10

Detecting Fraud Programmatically 11 lectures

Setting the context Preview 01:00

Machine Learning Concepts Preview 26:45

Introduction to Colab: Google Cloud Development Environment Preview 07:23

Linear and Logistic Regression (and an intro to deep learning) Preview 43:50

Unsupervised Learning Preview 47:04

Three types of anomaly detection Preview 09:21

Time Based Anomaly Detection Preview 08:49

Unsupervised Anomaly Detection - DBSCAN Preview 04:56

Unsupervised Anomaly Detection - Isolation Forest Preview 05:48

Supervised Anomaly Detection Preview 04:47

Image Anomaly Detection Preview 04:23

Conclusion 1 lectures

Conclusion Preview 01:46