Delivered by Dr Jan Novotny - running from the 8th July 2025 to the 12th August 2025.
Course overview
This course offers an applied introduction to machine learning, focusing on real-world implementation in finance. The core objective is to demystify machine learning and equip you with the skills and understanding needed to analyse your own datasets independently. By the conclusion of the course, you will be able to integrate these analytical methods into your daily workflow, enhancing your data-driven decision making and problem-solving capabilities. Each session combines theory with practical exercises, ensuring you develop both conceptual understanding and implementation skills. Expect to spend one/two hours a week to practice the machine learning techniques covered in the sessions.
Benefits
■ You will be introduced to basic concepts of machine learning, which is the
scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead
■ You will learn how to include machine learning models into your daily workflow with practical examples
■ You will learn how to code machine learning algorithms independently
■ You will implement a number of different machine learning methods ranging from ordinary least squares, regularised linear regressions, decision trees and forest, boosting, to neutral networks, understanding when each is applicable
Course prerequisites
You are expected to have a basic knowledge of Python (being able to run
simple commands preferably using the Jupyter Notebooks), and a basic knowledge of Mathematics and Statistics.
Target audience
This course is particularly useful to both professionals and researchers working in fields where there is demand for quantitative data-based decisions.
Schedule:
8th July 2025 to the 12th August 2025.
Fees:
£340 City St George's Students, Alumni and Staff
£476 External Students
£680 External Non-Student
Registration, payment and cancellation policy
Payment of course fees is required prior to the course start date. In case a course is cancelled, registered participants will receive the full refund.
Registration closes 7-calendar days prior to the start of the course. Please use your University email address if purchasing City St George's/Bayes students, Alumni, Staff or External students rate tickets.
A 15% discount is available for groups of three or more participants. Please email faculty.administration@citystgeorges.ac.uk before purchasing your tickets if you are a group of three or more people.
Please use your University email address to receive the student rate.
