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Digital Health Resources

The following page contains video training, seminars, lectures, events, and materials designed to help you to get the most out of your data.

Recorded Training

The following videos are from our YouTube channel, and are categorised by theme and by course.

Python


Twitter Data Analysis for Digital Health Research 00:58:28


R

Reproducible Analysis in R

Total time: 1:50:27

Reproducible Analyses in R - Part 1 - Introduction and overview 00:08:46

Reproducible Analyses in R, Part 2 - Introduction to R and R Studio 00:19:54

Reproducible Analyses in R, Part 3 - Adding data and basic calculations 00:09:11

Reproducible Analyses in R, Part 4 - Basic plotting with ggplot 00:12:22

Reproducible Analyses in R, Part 5 - Using and understanding the manual 00:11:47

Reproducible Analyses in R, Part 6 - Importing, tidying and working with data 00:40:13

Reproducible Analyses in R, Part 7 - Course summary 00:02:14


Preparing Your Corpus and Making Plots and Word Clouds in RStudio 1:06:48


Data

Managing sensitive research data at the University of Bristol: from planning to publication 0:18:23


Cryo EM

Tuning Characteristics for Cryo EM 00:13:49

Cryo EM, Genomics and other Life Sciences Workloads on Bede 00:37:56

Cryo EM Workflows on Bede 00:37:56



Other

Ethics in Computational Research

Total time: 3:48:21

Ethics in Computational Research, part 1 1:18:45

Ethics in Computational Research, part 2 00:44:57

Ethics in Computational Research, part 3 1:44:39


GlueViz

Total time: 1:49:09

GlueViz part 1 00:57:47

GlueViz part 2 00:51:22


Visualisation with Paraview

Total time: 1:15:50

Visualisation with Paraview - Part 1 00:30:36

Visualisation with Paraview - Part 2 00:45:14


Ethics and deposit/sharing - Making them work together 00:17:50

Accelerating CASTEP Without Breaking - Is Perfectly Portable Performance Possible? 00:16:31

Newcastle RSE Team and CarpenPi 00:10:41

Clinical Code Set Selection in Primary Care Data 00:37:56

Mobile development projects in the Humanities 00:16:56

Analysing the 100,000+ accelerometer datasets in the UK Biobank 00:50:20



Lectures and Seminars


Slides

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