Training materials
Scientific topics: Bioinformatics or Molecular biology or Natural language processing or Software engineering
and Resource type: Computer Science or hands-on tutorial
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
hands-on tutorial
R introduction
• beginnerR script Software engineering data visualisation programming -
hands-on tutorial
Introduction to Git and Github
• beginnerSoftware engineering Git Github Version control -
hands-on tutorial
Hands-on for 'Python - Coding Style' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Type annotations' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediateSoftware engineering data-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Multiprocessing' tutorial
••• advancedSoftware engineering data-science jupyter-notebook