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This module delves into the application of advanced data science and artificial intelligence in financial markets. It covers the use of machine learning for forecasting, sentiment analysis, and risk management, equipping students to leverage real-time data while considering ethical implications.
Machine learning for financial forecasting
Sentiment analysis of financial markets
Real-time data analytics for trading
Predictive models for risk management
Ethical considerations in AI-driven finance
Practical coding sessions (Python/R), data analysis projects, and workshops on algorithmic ethics.
Senior finance professionals, quantitative analysts, and data specialists applying AI and big data techniques.
Strong understanding of financial markets and investment analysis. Familiarity with basic data science concepts or programming (e.g., Python, R).
Join this course and gain the skills you need to excel in your field.
Attend this Course