Introduction to machine learning in Python

Open to
All Government Analysts
Training category
Data science
Type of training
3 days
Office of National Statistics
Data Science Campus


Machine learning is becoming more and more integrated in modern data analysis. Before performing advanced prediction, basic concepts in machine learning modelling must be understood and applied.

In this course you will learn about a range of machine learning topic areas as well as how to actually perform the modelling operations using the Python programming language and the package scikit-learn.

This course is typically taught over three to four days. Each of the five chapters will take between two to four hours to work through. There are multiple supplementary case studies to help gain experience applying techniques taught.

Learning outcomes

At the end of the course participants will:

  • understand what machine learning is and important considerations in machine learning workflows
  • be able to process data to be machine learning ready
  • be able to create simple regression models
  • be able to create simple classification models
  • be able to evaluate supervised learning models
  • be able to optimise supervised learning models
  • understand why dimension reduction is used
  • be able to perform dimension reduction techniques

How to book

Please use your Learning Hub account to access introduction to machine learning in Python online.

If you do not have a Learning Hub account, please contact