📘 Overview

This course introduces the most widely used and developed programming language in the field of scientific, financial, and data science, namely Python. The course also introduces the main scientific libraries of Python and third-party libraries to manage databases, visualize data, and perform efficient computations. It also gives several examples of financial computing, such as time-series analysis for the stock market, Monte-Carlo simulations to value investments, as well as linear and non-linear optimization for pricing. The principles and applications of digital technologies are developing at a fast pace. They have the capacity to improve the efficiency and potential of many current business processes and computational aspects in finance. Experienced and new professionals in the field of finance can benefit by improving their programming and scientific programming skills to be able to take advantage of this potential and follow progress.