In this introduction to machine learning online course you will learn the state of the art in data analytics and machine learning by leveraging the most widely used Python libraries - developed and maintained by big companies like Google, Facebook and Twitter.
As both data analytics and machine learning fields are vast and fast expanding, we will focus our efforts on grasping the foundations. The foundations which we will go through could enable you to get a junior position as a data analyst and/or machine learning engineer.
Libraries that will be taught in this course:
- Jupyter Notebook
Put your foundation in Python programming to work making sense of big data.
The course will be taught using Python 3, the most recent iteration of the Python language.
Who is it for?
This course is designed to open the vast world of data analytics and machine learning to those without prior experience of the field, using Python. Knowledge of mathematical concepts such as described at http://www.gcseguide.co.uk/mathsgcseguide.htm is beneficial, and delegates must have Python already.
Find out more about our Computer science and computing at City, University of London courses
Introduction to Data Analytics and Machine Learning with Python is taught over 10 lessons, once a week in the evening, allowing you to continue with full-time employment.
City Short Courses follow the academic year, delivering courses over three terms. These include:
- Autumn - October
- Spring - January
- Summer - April
- Delivered by industry professionals
- Taught in small group sizes
- Awarded a City, University of London certificate on completion