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Applying deep learning to real world health care problems and adapting to the fast paced field.
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R is one of the most used programming languages in Data Science to perform data analysis.
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This training aims to upskill all in their ability to use and apply big data in their work and research.
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Develop more advanced skills in using Python and start to apply these skills in software engineering.
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Introduction and beyond to the Python object-oriented programming language.
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This module introduces you to the R statistical programming language in a health research context.
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Harness the potential of machine learning within the medical and health research domains
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The aim of this course is designed for students without experience that want to process and analyse NGS data.
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This NGS: ATAC-seq course will give you an understanding of how to analyse and visualise ATAC-seq data.
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Welcome to our Next-Generation Sequencing (NGS) course where you will gain a understanding of how NGS work.
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Gain a comprehensive understanding of how to analyse and visualise bulk RNA-seq data.
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This course aims to equip participants with essential skills to process RNA-sequencing reads
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A practical introduction on how to approach Prediction Modelling in medicine and the health sciences.
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Analyse biological sequences and explore applications in fields like genomics, proteomics, and bioinformatics
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This course will provide practical examples of how to perform statistical tests using the R software.
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Prepare data for bioinformatics analyses and improve their data organization skills in MS Excel.
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