Training materials
Scientific topics: Data submission, annotation, and curation or Literature and language or Natural language processing or Software engineering or Transcriptomics
and Authors: Dr Eva Caamano-Gutierrez or The Carpentries
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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
Hands-on for 'Python - Coding Style' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Virtual Environments For Software Development' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Conda Environments For Software Development' tutorial
•• intermediatedata-science conda jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Testing' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'SQL with R' tutorial
•• intermediatedata-science SQL R jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Hands-on for 'SQL with Python' tutorial
•• intermediatedata-science SQL Python jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Flow Control' tutorial
• beginnerdata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Loops' tutorial
• beginnerdata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Basic Types & Type Conversion' tutorial
• beginnerdata-science jupyter-notebook