Data Week Online 2020

Slides / course notes	Recordings	Speaker / course lead
Data science COVID 19 and social change (PDF, 1,550kB)	Data science and COVID	Kate Robson Brown, JGI Director
Intermediate Python	Intermediate Python	Advanced Computing Research Centre
Working at and with The Turing experiences as a Fellow (PDF, 3,280kB)	Working at and with The Turing	Jon Crowcroft, Turing Fellow & University of Cambridge
Talk: Increasing engagement with data	Increasing engagement with your data	Michael Green, Luna 9
Introduction to Data Analysis in Python	Introduction to data analysis in Python	Advanced Computing Research Centre
Do you want to be a data Rockstar? (PDF, 7,985kB)	Do you want to be a Data Rockstar?	Luke Stoughton, The Information Lab
Applied Data Analysis in Python	Applied data analysis in Python - machine learning and data science	Advanced Computing Research Centre
New data on COVID 19 is undermined by old statistical problems (PDF, 2,608kB)	New data on COVID is undermined by old statistical problems	Gibran Hemani, University of Bristol
Managing sensitive data from planning to sharing (PDF, 2,108kB)	Not available	Library Research Services
Introduction to deep learning	Coming soon	Advanced Computing Research Centre
Deep Learning for Health and Life Sciences Code repository	Deep Learning for Health and Life Sciences (1) Deep Learning for Health and Life Sciences (2)	Valerio Maggio, Population Health Sciences
Tour of the Tidyverse (PDF, 2,785kB)	Coming soon	Max Kronborg, Mango Solutions
Best practices in software engineering	Coming soon	Advanced Computing Research Centre

Data Week Online took place 15 - 19 June 2020

Thanks to all who contributed and attended Data Week Online. Please feel free to browse some of the slides, course materials and recordings below: