Data Science in Finance
The financial services landscape is undergoing transformational change as advances in statistical analysis techniques are accelerating. In the asset management sector, these methods are now not only employed to seek alpha, but increasingly employed to seek alpha more cheaply. To stay relevant in the fast moving field of asset selection and portfolio management, stakeholders responsible for analysis and strategy must become fluent in current data science techniques and maintain a level of proficiency with existing and new tools as they emerge.
Topics include:
- Python
- AI
- Machine Learning
- Computational Sciences
- Advanced Data Visualization