Data Science, Machine Learning & AI
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Quantitative Foundations
Statistics, probability, and finance math. The quantitative skills that underpin data science and finance.
Courses
Introduction to Statistics
Foundational concepts in statistics
Statistical Concepts and Market Returns
Statistical measures applied to financial data
Probability Concepts
Fundamental probability theory and concepts
Common Probability Distributions
Normal, binomial, Poisson, and other key distributions
Probability Distributions (Advanced)
Advanced distribution concepts for risk
Sampling and Estimation
Statistical sampling and parameter estimation
Hypothesis Testing
Statistical hypothesis testing and inference
Linear Regression
Simple and multiple linear regression
Quantitative Methods
Advanced quantitative techniques
Understanding Portfolio Math
Mathematical foundations for portfolio management: returns, risk, correlation, and diversification
Volatility
Understanding and modeling volatility in financial markets
Value at Risk
Understand VaR concepts and calculation methods
Statistical Foundations of VaR
Mathematical foundations of Value at Risk measurement
Introduction to Quantitative Finance
Overview of quantitative finance concepts and career paths
Credit Risk Management
Principles and concepts of credit risk management
Foundations of Credit Risk Modelling
Conceptual foundations for building credit risk models