Finance, data science and macroeconomics courses. When possible, the course material is made available.
Intermediate finance & valuation, emlyon business school, MSc Data Science
Introduction to financial markets, emlyon business school, Master in Management
Time-series analysis with R (crash course), emlyon business school, MSc in Data Science
R & data Randomness & stationarity ARMA processes Advanced models
Introductory macroeconomics, Ecole Normale Supérieure de Lyon
Financial macroeconomics, Ecole Normale Supérieure de Lyon
C-CAPM Extreme risks Heterogeneous agents Degrowth & sustainability
Green finance: concepts & quantitative methods, emlyon business school, Master in Management
Machine Learning for Factor Investing, emlyon business school, MSc. in Finance
Finance & data analysis (ML) in R, emlyon business school, MSc. in Data Science
Dynamic Dashboards with Shiny, emlyon business school, Master in Management and MSc Digital Market & Data Science
Crash course on climate change and finance, emlyon business school, Master in Management
Machine Learning for Factor Investing, Imperial College Business School, MSc. in Finance
Introduction to statistics with R, emlyon business school, Master in Management
Non-Gaussian processes in finance, emlyon business school, Master in Quant. Finance
Introduction to big data and business analytics, Montpellier Business School, Master of Management
Numerical methods in finance, Univ. Paris I Panthéon-Sorbonne, Master of Market Finance