Training courses

How To Make a Good Map

This course introduces users to the best practice around mapping for a statistical context. We’ll introduce the most common types of maps used to present statistics and will provide guidance on what to think about when making a statistical map to ensure you make a clean, accurate and informative map.

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Training category: Geospatial
Type of training: Online
Length: One hour
Provider: Office for National Statistics (ONS) Geospatial Team
Location: Online

Hypothesis testing in Python

This is a short self-study course on hypothesis testing.

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Training category: Analytical, Data science
Type of training: Online
Length: 4 to 6 hours
Provider: Data Science Campus Faculty
Location: Online

Hypothesis testing in R

This is a short self-study course on hypothesis testing.

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Training category: Analytical, Data science
Type of training: Online
Length: 4 to 6 hours
Provider: Data Science Campus Faculty
Location: Online

Innovation Masterclass

This programme breaks down the art of innovation into small steps that can be applied to your future projects. It also teaches you how to evaluate ideas and pitch solutions.

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Training category: Careers, Other
Type of training: Online
Length: 1 day
Provider: Central Digital and Data Office

Intermediate index numbers

This course is for producers of index numbers or people who want to understand how they are produced.

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Training category: Analytical
Type of training: Online
Length: 2 half days
Provider: Data Science Campus Faculty
Location: Online

Intermediate NLP in Python

Learners will learn important components used for modelling text. This includes feature representation and language modelling.

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Training category: Analytical, Data science
Type of training: Online
Length: 4 to 6 hours
Provider: Data Science Campus Faculty
Location: Online

Introducing the Code of Practice for Statistics

This is an introductory session aimed at statistical producers to show how the Code of Practice for Statistics works in practice in the context of the UK statistical system, along with case studies to show how the code has been applied in the past.

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Training category: Analytical, Code of Practice
Type of training: Online
Length: 1 hour and 30 minutes
Provider: Data Science Campus Faculty
Location: Online

Introduction to Bayesian data analysis

This short course is designed to introduce learners to Bayesian analysis and how it can be applied within both the R and Python programming languages.

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Training category: Analytical
Type of training: Online
Length: 6 hours
Provider: Data Science Campus Faculty
Location: Online

Introduction to Continuous Integration

This short course is designed to introduce learners to modern software development approaches.

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Training category: Analytical
Type of training: Online
Length: 2 hours
Provider: Data Science Campus Faculty
Location: Online

Introduction to data linkage

Data linkage provides insight, informs policy change and helps answer society’s most important questions by increasing the utility of data. This self-study course will introduce you to the principles, theory and practice of data linkage.

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Training category: Analytical, Data linkage
Type of training: Online
Length: 14 hours
Provider: Data Science Campus Faculty
Location: Online

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