
University of St Andrews - Online
Course in Introduction: End-to-End Machine LearningOnline United Kingdom
DURATION
41 Days
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Jul 2025
TUITION FEES
GBP 1,800
STUDY FORMAT
Distance Learning
Introduction
Gain foundational knowledge in machine learning, covering essential concepts and tools for building predictive models.
Machine learning workflows are key to effective data science. This short course is focused on using Python packages to perform end-to-end data-driven analyses.
You will study four topics in this course. In three of those topics, you will be engaging with worked examples of machine learning with a range of difficulty and scope. Advanced Python code is supplied and explained for the most advanced worked example.
The remaining topic will introduce you to the terms, concepts and performance metrics used in modern data science projects.
The primary learning outcome for the course is the ability to manipulate data, fit models, summarise and display their results and performance, and objectively compare models before deployment.
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Ideal Students
The course is aimed at professionals with a good grasp of numeracy seeking to understand the core concepts and technologies that underpin modern machine learning. The topics detail three workflows, each of which uses collected data to derive models that will reliably and robustly predict new and unseen instances.
The ability to contribute to such workflows is a core skill to boost your career in fields like:
- finance (fraud prevention and credit decisions)
- healthcare (diagnostic and prognostic decisions)
- marketing (targeted ads and customer retention)
Admissions
Faculty
Program delivery
Teaching format
This is a self-paced online learning short course with lecture content, interactive elements, and access to a masterclass with the course leader after completion of the course.
The time commitment for this course is typically six to eight hours per week.