Finance with Python

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Perform data analysis and visualisation in Python
• Solve programmatically quantitative financial
• Apply Python programming language

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• Transfer Python programming knowledge to other programming languages
• Collect and analyse quantitative data.
• Demonstrate Python programming skills for financial and non-financial problems.

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Program, read and understand Python scripts.
• Build Python scripts for basic statistical and financial applications.
• Select appropriate solutions and platforms for programming in Python.

Introduction to Python for Finance

Python Fundamentals

Python Programming and Github

Statistics for Finance using Python

Statistics for Finance using Python

Multiple Linear Regression

Applications to financial problems

Teaching and learning methods

• Weekly lectures introduce concepts and demonstrate how to use Python to solve statistical/finance-related problems.
• Weekly computer-based classes will supplement the lectures, which will support student learning by providing opportunities for students to attempt and gain feedback on numerical and problem-solving exercises. Students will also have the opportunity for both directed and non-directed independent reading.

Summative

This is how we’ll formally assess what you have learned in this module.