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Published: 20 May 2021

Introduction to data linkage

Training Course

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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Published: 26 May 2021

Data linkage in Python

Training Course

This course aims to cover the practical application of linking data in Python.

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Published: 10 June 2021

Dates and times in R

Training Course

Dealing with dates and times is something any data analyst will need to do at some point. This course provides an introduction on how to deal with this kind of data.

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Published: 10 June 2021

Dates and times in Python

Training Course

Dealing with dates and times is something any data analyst will need to do at some point. This course provides an introduction on how to deal with this kind of data.

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Published: 10 June 2021

Machine learning in R

Training Course

This course has been designed for beginners in the field of machine learning (ML).

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Published: 30 June 2021

Introduction to Bayesian data analysis

Training Course

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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Published: 30 June 2021

Natural Language Processing (NLP) in R

Training Course

In this introductory course, we will cover the basics of Natural Language Processing (NLP) topics.

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Published: 20 August 2021

Introduction to object orientated programming in Python

Training Course

This course is designed to introduce learners to object orientated programming in Python.

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Published: 10 September 2021

Introduction to machine learning in Python

Training Course

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

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Published: 10 September 2021

Quality assurance of predictive modelling

Training Course

The course is a series of modules exploring quality issues related to predictive modelling.

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