Certificate in Data Science for Fraud Analysis
-- ViewingNowThe Certificate in Data Science for Fraud Analysis is a crucial course that combines data science and fraud analysis, equipping learners with essential skills to detect, prevent, and mitigate fraudulent activities in various industries. This course's importance lies in its industry-demanded skills, as companies increasingly rely on data-driven strategies to combat fraud.
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โข Fundamentals of Data Science: Introduction to Data Science, Data Types and Sources, Data Collection and Preparation
โข Statistical Analysis: Descriptive and Inferential Statistics, Probability Distributions, Hypothesis Testing
โข Data Visualization: Data Visualization Techniques, Tools and Libraries, Visualization for Fraud Detection
โข Machine Learning: Supervised and Unsupervised Learning, Machine Learning Algorithms, Model Selection and Evaluation
โข Fraud Detection Techniques: Anomaly Detection, Fraud Scheme Identification, Link Analysis
โข Fraud Analytics Applications: Fraud in Banking, Insurance, and Taxation, Cybercrime and Online Fraud, Anti-Money Laundering
โข Ethics and Privacy: Data Privacy and Security, Ethical Considerations in Data Science, Compliance and Regulations
โข Data Science Tools and Languages: Python, R, SQL, Tableau, PowerBI
โข Capstone Project: Real-World Fraud Analysis Scenario, Data Collection and Analysis, Report Writing and Presentation
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