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22.04.2021Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. Emily Angiolini. Data Carpentry workshops are for any researcher who wrok data they want to analyse, and no prior computational experience is required.
This hands-on workshop teaches basic concepts, skills, and tools for working more effectively with data. We will cover data organisation in spreadsheets, data cleaning, SQL, the command line, and R for data analysis and visualisation using examples from biology.
Participants should bring their laptops and plan to actively participate. By the end of the workshop, learners should be able to more effectively manage and analyse data and apply the tools and approaches directly to their ongoing research.
Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The course is aimed at researchers in the life science and computational science disciplines at all career stages.
We particularly encourage students and post-doctoral scientists to attend, but the course is open to everyone. Skip to main content.
Strategic Programmes overview Analysing and Interpreting Genomes important in food security Systems Genomics approaches to understand complex phenotypes Data carpentry work shop 2019 for integrative biology Designing Carpentry work shop 2019 Wheat. Public engagement and society overview The Bee Trail. Carpentry work shop 2019 Scientific training Carpeentry Carpentry Workshop Data Carpentry workshops are for any researcher carpentry work shop 2019 has data they want to analyze, and no prior computational experience is required.
Start date:. Carpentry work shop 2019 date:. Earlham Institute. Registration deadline:. What is this workshop about? Who is carprntry course for? What are the prerequisites for the course? There are no pre-requisites, and we will assume no prior knowledge about the tools. Organisers and trainers. Nicola Soranzo. Anthony Etuk. Alice Minotto. Rob Davey. Day carpnetry - 05 March Time.
Related reading. Data Carpentry Virtual Workshop Software Carpentry Virtual Workshop From amplicon to analysis: microbial community analysis with LotuS2 and R. Genome Annotation Workshop Introduction to Python for Biologists Advanced Python for Biologists
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