Recipients of the Uplimit Data Science for Security and Fraud certificate have learned the problems of fake account creation, account takeover, bot traffic, and phishing, and propose a framework for understanding and addressing them. They have explored common data sources such as web application logs and telemetry collected from devices, networks, and user behavior and applied data science techniques like anomaly detection and graph analysis to tackle specific problems.

Certification criteria:

Actively participated in Uplimit’s dynamic course on Data Science for Security: attended lectures, project sessions, community talks with industry leaders, and more.

Built solutions to identify malicious and fraudulent behavior on the internet, and designed ways to stop them.

Learned and implemented models around how security and fraud impact web applications, including bots and feature engineering, user interaction data and graphs to detect anomalies better.

May 15, 2023 Instructor: Yiing Chau Mak

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