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Data Carpentry for Social Scientists

Training: Data Carpentry for Social Scientists

Data Carpentry course are for researchers who have little to no prior computational experience, enabling them to quickly apply new skills learned to their own research. This course will cover the

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19 Feb 2020, 13:00 – 16:30

Training: Data Carpentry for Social Scientists

Data Carpentry course are for researchers who have little to no prior computational experience, enabling them to quickly apply new skills learned to their own research. This course will cover the following topics: Data organisation in spreadsheets; OpenRefine for data cleaning; Introduction to R; Data analysis and visualisation with R; Data management with SQL.

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26 Feb 2020, 13:00 – 16:30

Training: Data Carpentry for Social Scientists

Data Carpentry course are for researchers who have little to no prior computational experience, enabling them to quickly apply new skills learned to their own research. This course will cover the following topics: Data organisation in spreadsheets; OpenRefine for data cleaning; Introduction to R; Data analysis and visualisation with R; Data management with SQL.

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28 Feb 2020, 13:30 – 14:30

Demons, Dildos & Dancing Skeletons: Machine Learning at Wellcome Collection

Works held at the Wellcome Collection are being digitised rapidly, with more than 10,000 new images produced every day. All of those works are...

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4 Mar 2020, 10:00 – 13:00

Training: Visualising Spatial Data in QGIS

Ever wondered how people create those 3D maps and data visualisations? Want to know how to animate data on maps to show how it changes over time? This workshop will show you how to...

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4 Mar 2020, 13:00 – 16:30

Training: Data Carpentry for Social Scientists

Data Carpentry course are for researchers who have little to no prior computational experience, enabling them to quickly apply new skills learned to their own research. This course will cover the following topics: Data organisation in spreadsheets; OpenRefine for data cleaning; Introduction to R; Data analysis and visualisation with R; Data management with SQL.

Book now
BOOK YOUR PLACE