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Reproducible data analysis
Reproducible Data Analysis: an Essential Capability in Modern Science - a micro-credential What are Micro-credentials?Micro-credentials consist of one or several courses. The scope is expressed in ECTS credits (study credits), guaranteeing high-quality standards and certification. These short learning packages are designed to be easily combined with a job. Micro-credentials equip you with the skills to remain competitive and are accredited by Flemish universities and promoted by the Flemish government, and the European Commission.The scientific method is historically linked to the possibility that other researchers can replicate and verify its results. As scientific analysis becomes more complex and interdisciplinary, ensuring reproducibility becomes more challenging, especially in fields that combine different expertise. To promote transparency, consistency, and robustness in science, journals, funders, and institutions encourage using tools and practices that enhance reproducibility. Learn about version control, containers, pipelines, and data reproducibility. This will steer you towards the reproducibility of your research and the impact and reliability of research findings and methods. Moreover, using the techniques introduced here, you can collaborate and experiment in ways that allow reproducibility and creativity to coexist and thrive.This course = 3 ECTS issued by UGent university
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Reproducible data analysis
Reproducible Data Analysis: an Essential Capability in Modern Science - a micro-credential What are Micro-credentials?Micro-credentials consist of one or several courses. The scope is expressed in ECTS credits (study credits), guaranteeing high-quality standards and certification. These short learning packages are designed to be easily combined with a job. Micro-credentials equip you with the skills to remain competitive and are accredited by Flemish universities and promoted by the Flemish government, and the European Commission.The scientific method is historically linked to the possibility that other researchers can replicate and verify its results. As scientific analysis becomes more complex and interdisciplinary, ensuring reproducibility becomes more challenging, especially in fields that combine different expertise. To promote transparency, consistency, and robustness in science, journals, funders, and institutions encourage using tools and practices that enhance reproducibility. Learn about version control, containers, pipelines, and data reproducibility. This will steer you towards the reproducibility of your research and the impact and reliability of research findings and methods. Moreover, using the techniques introduced here, you can collaborate and experiment in ways that allow reproducibility and creativity to coexist and thrive.This course = 3 ECTS issued by UGent university
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Reproducible data analysis
Reproducible Data Analysis: an Essential Capability in Modern Science - a micro-credential What are Micro-credentials?Micro-credentials consist of one or several courses. The scope is expressed in ECTS credits (study credits), guaranteeing high-quality standards and certification. These short learning packages are designed to be easily combined with a job. Micro-credentials equip you with the skills to remain competitive and are accredited by Flemish universities and promoted by the Flemish government, and the European Commission.The scientific method is historically linked to the possibility that other researchers can replicate and verify its results. As scientific analysis becomes more complex and interdisciplinary, ensuring reproducibility becomes more challenging, especially in fields that combine different expertise. To promote transparency, consistency, and robustness in science, journals, funders, and institutions encourage using tools and practices that enhance reproducibility. Learn about version control, containers, pipelines, and data reproducibility. This will steer you towards the reproducibility of your research and the impact and reliability of research findings and methods. Moreover, using the techniques introduced here, you can collaborate and experiment in ways that allow reproducibility and creativity to coexist and thrive.This course = 3 ECTS issued by UGent university
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- descriptionReproducible Data Analysis: an Essential Capability in Modern Science - a micro-credential What are Micro-credentials?Micro-credentials consist of one or several courses. The scope is expressed in ECTS credits (study credits), guaranteeing high-quality standards and certification. These short learning packages are designed to be easily combined with a job. Micro-credentials equip you with the skills to remain competitive and are accredited by Flemish universities and promoted by the Flemish government, and the European Commission.The scientific method is historically linked to the possibility that other researchers can replicate and verify its results. As scientific analysis becomes more complex and interdisciplinary, ensuring reproducibility becomes more challenging, especially in fields that combine different expertise. To promote transparency, consistency, and robustness in science, journals, funders, and institutions encourage using tools and practices that enhance reproducibility. Learn about version control, containers, pipelines, and data reproducibility. This will steer you towards the reproducibility of your research and the impact and reliability of research findings and methods. Moreover, using the techniques introduced here, you can collaborate and experiment in ways that allow reproducibility and creativity to coexist and thrive.This course = 3 ECTS issued by UGent university
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- og:descriptionReproducible Data Analysis: an Essential Capability in Modern Science - a micro-credential What are Micro-credentials?Micro-credentials consist of one or several courses. The scope is expressed in ECTS credits (study credits), guaranteeing high-quality standards and certification. These short learning packages are designed to be easily combined with a job. Micro-credentials equip you with the skills to remain competitive and are accredited by Flemish universities and promoted by the Flemish government, and the European Commission.The scientific method is historically linked to the possibility that other researchers can replicate and verify its results. As scientific analysis becomes more complex and interdisciplinary, ensuring reproducibility becomes more challenging, especially in fields that combine different expertise. To promote transparency, consistency, and robustness in science, journals, funders, and institutions encourage using tools and practices that enhance reproducibility. Learn about version control, containers, pipelines, and data reproducibility. This will steer you towards the reproducibility of your research and the impact and reliability of research findings and methods. Moreover, using the techniques introduced here, you can collaborate and experiment in ways that allow reproducibility and creativity to coexist and thrive.This course = 3 ECTS issued by UGent university
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