This course introduces analytics tools for quantitative modeling in finance using both unstructured text data (e.g., news articles) and numerical data (e.g., firm characteristics data from WRDS). The models covered include term frequency-inverse document frequency, naive Bayes, regression (simple linear regression and neural networks), decision trees, and Monte Carlo simulation. The last part of the course is on image processing in finance.