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DTSTAMP:20260614T174000Z
UID:4bbc2424-9d19-42ff-adf9-0883859997a4
DTSTART:20250616T090000Z
DTEND:20250620T170000Z
DESCRIPTION:This course will introduce life scientists to practical data sc
 ience topics used in life sciences\, such as data handling and visualisati
 on\, statistical analysis\, application of AI\, and use of publicly availa
 ble databases. \n\nYou will initially be introduced to data science theor
 y and practice\, including best practices for undertaking analyses\, data 
 management\, and reproducibility. \n\nThe course will provide hands-on tr
 aining in tools and resources appropriate to your research\, including int
 roducing the use of Python for handling and visualising data\, statistical
  analysis\, and the application of machine learning.\n\n**Group projects**
 \n\nThis course includes group projects where you will be placed in small 
 groups to work together on a challenge set by trainers from EMBL-EBI. This
  allows you to explore the data sciences methods and resources you will le
 arn about during the course and apply them to a set problem\, providing yo
 u with hands-on experience. The group work will culminate in a flash talk 
 session involving everyone on the final day of the course.\n\nGroups are m
 entored and supported by the trainers who set the initial challenge\, but 
 the groups will be responsible for driving their projects forward\, with a
 ll members expected to take an active role. \n\nThere are two different g
 roup project topics\, gene expression and protein structure. Both these pr
 ojects will provide an opportunity for participants to apply the knowledge
  and skills learnt during the other sessions of the course\, including dat
 a handling in Python\, data visualisation\, statistics and machine learnin
 g. The projects will also allow participants to gain experience of using E
 MBL-EBI data resources\, including Expression Atlas and the Single Cell Ex
 pression Atlas for the gene expression project\, and the resources PDBe an
 d AlphaFold for the protein structures project. You will be asked during y
 our application to select the group project topic you would most benefit f
 rom. \n\nThe projects cover mammalian data sets\, however\, in many cases
 \, the methods and approaches taught are transferable to data from various
  species.
LOCATION:European Bioinformatics Institute\, Hinxton
SUMMARY:Data science for life scientists
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/data-science-for-life-s
 cientists
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