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Learn Fraud Analytics 2024 – Best Fraud Analytics Courses & Best Fraud Analytics Tutorials

Best Fraud Analytics Courses 2021


Best Fraud Analytics Tutorials 2021

Real-time Credit card Fraud Detection using Spark 2.2

Real-time credit card fraud detection is implemented using Spark Kafka and Cassandra. Spark ML pipeline stages such as string indexer, hot encoder, and vector assembler are used for preprocessing. The machine learning model is created using the random forest algorithm. Data balancing is performed using the K-means algorithm. Integration of Spark Streaming Job with Kafka and Cassandra. Exactly unique semantics are achieved using Spark Streaming’s custom offset handling. The Airflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.

Forensic Accounting: Fraud Investigation!

Find out how to prevent, detect and correct fraud in your organization. Learn like you’ve never learned! This course is filled with small, animated, cartoon-style video lectures. Each video is no longer than 5 minutes. These videos not only make it easy for you to learn and understand, but also have fun learning. Plus, when you sign up, you’ll have access to the free digital manual, written just for you. Each video conference is followed by a short quiz, so you can assess your knowledge. At the end of each learning section, you will find a concrete case that you will need to solve.

Topics covered in this course include:

The nature of the fraud
Skimming schemes
Theft patterns

You will learn:

Legal definition of fraud
Examples of theft, conversion, embezzlement and abuse
The 3 elements of the fraud triangle
Skimming of sales
Prevention and detection of sales skimming
Skimming of receivables
Prevention and detection of debt skimming
Regrouping of receivables
Balance of forces
Money theft
Point-of-sale theft, claims and deposits
Prevention and detection of money theft programs
Billing schemes
Shell Company Drawings
Personal shopping programs
Prevention and detection of billing patterns

Forensic Accounting and Fraud Investigation

This digital certification course is designed to make you a great forensic accountant in a very short time. The objective of this program is to understand the various techniques used to prevent, detect and investigate financial statement fraud. Fraud in financial statements usually involves an overestimation of assets, income and profits and an underestimation of liabilities, expenses and losses. Overall, there are only two types of fraud in the world

Fraud for the company

Fraud against the company

This course focuses on fraud committed for businesses.

Practical and viable strategies to grow your business

All of the advice in this Financial Statement Fraud course comes from investigations that I have conducted personally. Since then, I have avoided taking the names of target and submitted companies, there is an element of guesswork but it is not theory. In addition, I am the author of a book on stock market and financial fraud. Most of the suggestions in the book are turned into lessons in the tutorials. So, by the end of this course, I am confident that you will be a great forensic accountant with a flavor of financial statement fraud!

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