Fraud Prevention Dispute Resolution and PCI-DSS Masterclass
4.5
Udemy9,497 learners
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This ultimate masterclass contains two courses on payment system fraud and dispute resolution: Fundamentals of Fraud Prevention and Monitoring and Introduction to Payment Dispute Resolution. It is the definitive experience for any payment professional that wants to diagnose and address any type of payment issue. Learn about dispute frameworks, fraud prevention tools and systems, internal processes, and more. Understand how fraud is committed, or how disputes are resolved, and get to know countless fraud techniques, perpetrators, and dispute shapes and sizes. Become a fraud monitoring professional, a payments professional, a commercial banker, or any other type of professional that wants to master the theory and practice of both. Get reliable, comprehensive information source for fraud and disputes and optimize fraud prevention solutions and dispute resolution processes. Get the right information and become an expert in fraud prevention and dispute resolution with this ultimate masterclass.
Fraud Risk Analytics (Excel & AI based tools) and Prevention
4.4
Udemy3,318 learners
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This program, Fraud Risk Analytics (Excel & AI based tools) and Prevention, is designed to help organizations detect and prevent fraud. It covers the characteristics and types of fraud, how to detect and prevent it, and best practices in fraud management. It also provides tools and techniques to be deployed using Excel and AI, and a framework to assess the maturity of the organization for fraud management. Led by an industry veteran with vast experience in fraud detection and prevention, this program is a must for any organization looking to protect their bottom line.
Real-time Credit card Fraud Detection using Spark 22
4.3
Udemy4,387 learners
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This course provides an in-depth look at how to detect credit card fraud in real-time using Spark, Kafka, and Cassandra. It covers the use of Spark ML Pipeline Stages such as String Indexer, One Hot Encoder, and Vector Assembler for pre-processing, Random Forest Algorithm for machine learning, K-means Algorithm for data balancing, and Spark Streaming custom offset management for exactly-once semantics. Finally, it covers the use of Airflow Automation framework to automate Spark Jobs on a Spark Standalone Cluster.
Payment Risk 101
4.4
Udemy6,315 learners
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This comprehensive Payment Risk 101 course is the only one on Udemy to provide all the knowledge and experience you need to work in the payment industry and fight against fraudsters. With over 5000 reviews and 4.0+ feedback, this course covers topics such as Pull/Push Payment, Card Authorization, Chargebacks and Refunds, 3DS2.0, Risk Modeling, and more. Learn all the information you need to know about payment and payment risk at a fraction of the cost of traditional training. Join now and start your path to success in the payment industry!
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