Python

This is a short and very informative 2 hour overview on what python is and how it can be uses it in various parts of your organization. It will cover the types of roles and job functions where knowledge of python can be a benefit. It will also outline the types of functions and tasks that can be accomplished using python.

Develop proficiency in employing advanced Python programming techniques for financial modelling, analysis, and risk management.

Learn the basics of the python programming language and Jupyter notebooks. Understand and use the key Python libraries for data manipulation, analysis, and visualization, including Pandas, NumPy, and popular data visualization packages.

Use python to build machine learning models for regression and classification using scikit-learn. Learn how to create, train and evaluate models. Be familiar with the common machine learnign algorithms available from scikit-learn.

Attain a comprehensive understanding of Python programming language fundamentals. Develop the skills needed to write, debug, and maintain Python code confidently.

Use python to build deep learning models for regression and classification. Learn how to create, train, evaluate and tune neural networks using Python and Keras.