Training courses

More GIS in Python

This course builds upon the skills learned during Introduction to Geographic Information Systems (GIS) in Python.

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Training category: Geospatial
Type of training: Online
Length: Two to three hours
Provider: Office for National Statistics (ONS) Geospatial Team
Location: Online

More GIS in R

This course builds upon the skills learned during Introduction to Geographic Information Systems (GIS) in R.

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Training category: Analysis
Type of training: Online
Length: Two to three hours
Provider: Office for National Statistics (ONS) Geospatial Team
Location: Online

Natural Language Processing (NLP) in R

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

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

Packaging and documentation

This course will teach you how to build packages using your own custom functions and import them in both Python and R.

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

Practical Geography for Statistics

This short course provides the theoretical knowledge you need to begin using geography for statistical purposes. We suggest combining this course with either Introduction to QGIS, Introduction to GIS in R or Introduction to GIS in Python. Doing so will provide you with a good theoretical and practical knowledge to begin using geography with statistics in your analysis.

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

Python control flow loops and functions

Loops, Control Flow and the ability to write your own functions are valuable programming tools. This short course covers and introduction to these topics and demonstrates areas for additional learning.

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Training category: Analytical, Data science
Type of training: Online
Length: 3 hours
Provider: Data Science Campus Faculty
Location: Online

Quality assurance of predictive modelling

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

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

Quality statistics in government

The aim of this online course is to give an overall awareness quality in statistics to government statistics producers. This will include guidance for the implementation of quality and the communication of this to users.

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Training category: Quality
Type of training: Online
Length: 1 hour
Provider: Government Data Quality Hub (DQHub)
Location: Online

R control flow loops and functions

Loops, control flow and the ability to write your own functions are valuable programming tools. This short course covers and introduction to these topics and demonstrates areas for additional learning.

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Training category: Analytical, Data science
Type of training: Online
Length: 3 hours
Provider: Data Science Campus Faculty

Reproducible reporting with RMarkdown

An introduction to using R Markdown documents to produce reproducible reports.

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

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