Training materials
Scientific topics: Machine learning or Microbial ecology or Rare diseases or Software engineering or Structure prediction
and Authors: Bazante Sanders or Dr John Heap
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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 -
hands-on tutorial
Python - Subprocess
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Globbing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Try & Except
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Make & Snakemake
•• intermediateSoftware engineering Foundations of Data Science -
hands-on tutorial
Python - Files & CSV
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Flow Control
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Loops
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Basic Types & Type Conversion
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Introductory Graduation
• beginnerSoftware engineering Foundations of Data Science jupyter-notebook
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