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Introduction to NLP in Python

This is an Introduction to Natural Language Processing, and covers the main concepts around text cleaning, processing, exploring datasets, and becoming familiar with working with text based data in Python.

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Hypothesis testing in R

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

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Leaders in Analysis: disability and analysis

This is the 11th edition of Leaders in Analysis and will showcase the experiences of disabled analytical leaders.

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One Big Thing 2024: Bringing out the innovator in you!

Join colleagues from Cabinet Office to find out more about what you can expect from One Big Thing 2024.

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How the Integrated Data Service (IDS) continues to innovate with data sharing

Join Liam Jones, IDS senior development manager, to learn more about bringing together ready-to-use data to enable faster and wider collaborative analysis for the public good.

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Innovative methods for International Migration statistics

In this session, colleagues from Office for National Statistics (ONS) will explain how they have been using innovative data science techniques to harness the power of administrative data.

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The Winter COVID-19 Infection Study

In this session, analysts from the UK Health Security Agency (UKHSA) and Office for National Statistics (ONS) will talk about their exciting and innovative work to monitor the spread of COVID-19 during the Winter of 2023 to 2024.

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12 months of artificial intelligence (AI)

Join colleagues from Data Science Campus at the Office for National Statistics (ONS) to learn from their observations from 12 months of trying to get AI in use.

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Analysis without data

This session will explore how colleagues from the Ministry of Justice (MoJ) and the Department for Levelling Up, Housing and Communities (DLUHC) worked together to develop a Reproducible Analytical Pipeline (RAP) for their offending and repeat homelessness projects.

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Qualifications harmonised standard

This guidance sets out how to collect and report statistics about qualifications to ensure statistics about this topic are as comparable as possible across government.

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