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DTSTART;TZID=Europe/Copenhagen:20260501T090000
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DTSTAMP:20260525T193622
CREATED:20250602T114136Z
LAST-MODIFIED:20250602T114136Z
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SUMMARY:Data Science
DESCRIPTION:Learn to analyse large data sets and train machine learning methods. \nIncreasing amounts of data are being collected in the healthcare system from high throughput genomics\, wearable devices\, and electronic patient records. This course will provide you with the necessary data science skills required to analyse such large datasets. \nWe will cover the various data analysis steps from loading and transforming data to visualization\, statistical analysis\, and machine learning (both supervised and unsupervised learning). \nYou will learn about tools that can help make clear and reproducible analyses such as software for version control and workflow management and be introduced to the use of High-Performance Computing (HPC) and parallelization. \nThe course will be hands-on where you will analyse relevant data sets combined with a systematic review of the various methods and tools\, including sources of error\, variation\, and uncertainty. \nThe data analysis will be done using R (tidyverse) and experience with the use of R is an advantage. Experience with R can possibly be gained by self-study in connection with the course.
URL:https://ddsa.dk/event/data-science/
LOCATION:Aarhus University\, Aarhus C
CATEGORIES:Other Events,PhD Course
ATTACH;FMTTYPE=image/jpeg:https://ddsa.dk/wp-content/uploads/2025/05/Datascience_1100x600px.jpg
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