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It's Your Data, Master It.
Scientific Workflow Automation
Overview
Skills Needed
This course is designed for researchers looking to automate their scientific workflows using Apache Airavata. It covers how to design, execute, and manage workflows tailored for scientific applications, including case studies from various scientific domains.
'- Intermediate knowledge of Apache Airavata.- Experience with scientific computing or research methodologies.- Familiarity with data analysis tools.
Outline
Introduction to Scientific Workflows: Importance and use cases; 2. Designing Scientific Workflows: Best practices and tools; 3. Integrating Analytical Tools: Connecting with R, Python, and MATLAB; 4. Case Studies: Examples from biology, physics, and chemistry; 5. Data Visualization and Reporting: Generating and presenting results; 6. Collaborative Research: Sharing workflows and results
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