Program Prerequisites: Educational Background: High school diploma or equivalent with coursework in Mathematics, Computer Science, Statistics, and Physics. Mathematical Skills: Strong foundation in Algebra, Calculus, Linear Algebra, Probability, and Statistics for data modeling and machine learning algorithms. Programming Knowledge: Proficiency in Python, R, or SQL for data processing and statistical analysis. Analytical and Problem-Solving Skills: Ability to think logically and analyze patterns, trends, and relationships in large datasets. English Proficiency: For non-native speakers, TOEFL, IELTS, or equivalent certification is required for technical documentation, reporting, and presentations. Computer and Technical Skills: Familiarity with databases, spreadsheet tools, and data visualization platforms (e.g., Tableau, Power BI). Critical Thinking and Ethics Awareness: Understanding of data privacy, security, and ethical implications when handling sensitive data.