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
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. No data analytics or machine learning experience is required, but knowledge of mathematical concepts such as those presented in the website http://www.gcseguide.co.uk/mathsgcseguide.htm is beneficial.
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-weekly evening classes, allowing you to continue with full-time employment.
Make sense of big data using a strong knowledge of Python programming.
Python 3 is the last iteration of the Python language, and so it will be useful to learn the tools and techniques we teach in this course in Python 3.