Fraud Analytics Courses

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    3. 1. Forensic Accounting: Fraud Investigation!

    Forensic Accounting: Fraud Investigation!

    Fraud Examination, Fraud Prevention, Fraud Detection, and Fraud Correction
    Content:
    - Legal Definition of Fraud
    - Examples of Larceny
    - Conversion
    - Embezzlement
    - and Abuse
    - The 3 elements of the Fraud Triangle

    2. Real-time Credit card Fraud Detection using Spark 2.2

    Real-time Credit card Fraud Detection using Spark 2.2

    Real time Credit card Fraud detection using Spark Streaming, Spark ML, Kafka, Cassandra and Airflow
    Content:
    - Students will be able to build End to End Big data project using Spark
    - Kafka
    - Cassandra
    - Scala and Java

    3. Forensic Accounting and Fraud Investigation

    Forensic Accounting and Fraud Investigation

    Forensic Accounting techniques elaborated with the help of financial statement frauds
    Content:
    - Forensic Accounting techniques required to investigate the financial statement frauds
    - Top indicators of financial statement frauds
    - Learn through the real life case studies on financial statement frauds

    4. Fraud Analytics using R & Microsoft Excel

    Fraud Analytics using R & Microsoft Excel

    Learn how to Introduction to Fraud,Different Types of Fraud and Fraud Analytics & Importance
    Content:
    - Learn how to effectively work around pricing to find out answers to key questions related to business analysis.

    5. Fraud Risk Analytics (Excel & AI based tools) and Prevention

    Fraud Risk Analytics (Excel & AI based tools) and Prevention

    Detect & Prevent Fraud Smartly
    Content:
    - What is fraud
    - How to detect fraud
    - How to prevent fraud

    6. Predict fraud with data visualization & predictive modeling!

    Predict fraud with data visualization & predictive modeling!

    Create a credit card fraud detection model! Learn predictive modeling, logistic regression, and regression analysis.
    Content:
    - Learn how to code in Python
    - a popular coding language used for websites like YouTube and Instagram.
    - Learn TensorFlow and how to build models of linear regression
    - Make a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe!

    7. Fraud Prevention and Dispute Resolution Masterclass

    Fraud Prevention and Dispute Resolution Masterclass

    The fundamentals of fraud prevention and monitoring + the fundamentals of dispute resolution - now in one course.
    Content:
    - You'll learn about general and specific approaches to fraud
    - from social engineering to card block fraud
    - convenience fraud
    - and many others by different actors
    - You'll learn an extensive list of dispute chargeback codes
    - from fraudulent processing to invalid core
    - invalid data
    - late presentment
    - and many others
    - You'll learn an extensive list of fraud prevention techniques: Hotlists
    - velocity checks
    - device identification
    - out-of-wallet checks
    - fraud scores
    - etc

    8. Fraud Management Fundamentals

    Fraud Management Fundamentals

    Introduction to Fraud Management
    Content:
    - Basic understanding of what fraud is
    - and the elements thereof
    - Identify activity that constitute for fraud.
    - Fraud Triangle

    9. Identifying Procurement Fraud Risk

    Identifying Procurement Fraud Risk

    Its typologies and global threats
    Content:
    - Procurement Fraud and Corruption risk identification
    - Areas of the procurement process where fraud can occur
    - Roles that can influence and manipulate the procurement process

    10. A Primer For Avoiding Common Financial Statement Fraud

    A Primer For Avoiding Common Financial Statement Fraud

    This course discusses some common financial statement shenanigans to help you avoid being fooled by them.
    Content:
    - Identify the seven most popular recipes for “cooking the books”.
    - Recognize the triggers that cause people to commit financial statement fraud.
    - Discover infamous corporate scandals highlighting “financial shenanigans”.

    11. Fraud Analytics in Banking and Credit using Machine Learning

    Fraud Analytics in Banking and Credit using Machine Learning

    Understand fraud detection analytics and the robust internal controls and risk management system in organizations
    Content:
    - Learn about basic banking system concepts that are needed to resolve and understand what kind of frauds are taking place in the banking sectors every day
    - In this Fraud Analytics Training
    - firstly you will be introduced to fraud and its types which are very important to resolve any kind of fraud
    - Learn about some analytical subjects and concepts that are used to analyze and predict the data that are causing harm to the organizations or banks/individual

    12. Occupational Fraud Fundamentals

    Occupational Fraud Fundamentals

    Fundamentals
    Content:
    - The course is structured into 7 sections: Section 1 is an introduction of the course. Section 2 is called What is occupational fraud? – in this section you will learn what is the difference between occupational fraud and occupational abuse? What is the fraud tree? What is the difference between internal and external fraud? What is the fraud triangle? Section 3 is called Asset Misappropriation - in this section you will learn about the first category of the fraud tree
    - namely the asset misappropriation and how to detect such cases in your company? You will also learn what is cash and non-cash misappropriation. What is the main factor that influence the level of occupational fraud? Section 4 is called Corruption. Here you will understand what corruption is and why it is important to detect and prevent it? Which sector is most at risk of corruption? Are there different types of corruption? What is official bribery and commercial bribery? What is economic extortion?
    - How can we prove a corrupt payment? Section 5 is Financial statement fraud – this section will provide you with an interesting and important information about the last category of the fraud tree. You will learn also what are the reasons behind “cooking the books”? Why management manipulates financial statements? We will tell you who is the common perpetrator of a Financial statement fraud and what are common ways in which financial statement frauds are concealed? Many other questions will be also covered. Section 6 Prevention and detection. Here we will learn how to detect fraud attempts and how to prevent losses to occur. Section 7 is a summary of the course.

    13. Exploring Antifraud Policies, Programs, and Procedures

    Exploring Antifraud Policies, Programs, and Procedures

    This course discusses how antifraud policies, programs, and procedures should be designed to deter, prevent fraud.
    Content:
    - Explore the significance of financial reporting fraud.
    - Recognize the causes and consequences of financial reporting fraud.
    - Identify the antifraud roles and practices of corporate gatekeepers including the board of directors
    - management
    - regulators
    - internal auditors
    - and external auditors.

    14. Forensic accounting and fraud detection

    Forensic accounting and fraud detection

    To understand errors and frauds and to know more about types of errors and frauds
    Content:
    - Frauds and errors and the methods through which they are perpetrated

    15. Dissecting the Fraud Triangle

    Dissecting the Fraud Triangle

    This course explores concepts and profile of the white collar fraudster, so individuals can take pro-active steps
    Content:
    - Explore the theories of Edward Sutherland and Donald Cressey.
    - Recognize symptoms of the fraud triangle.
    - Identify how to address symptoms of pressure
    - opportunity and rationalization.

    16. Fraud Awareness Training

    Fraud Awareness Training

    Training to increase your awareness of Fraud within the organisation
    Content:
    - At the conclusion of this course students will have more knowledge about what Fraud is
    - who typically commits the act and why. Students will also learn about the consequences of Fraud to the organisation and some activities that the organisation can engage in order to deter and prevent Fraud from occurring.