Data Science for Non-Programmers (DataScience4NP)

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Description: The objective of the DataScience4NP project is to explore the use of visual programming paradigms to enable non-programmers to be part of the Data Science workforce.

License: GNU General Public License (GPL) 3.0

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Project Abstract Background The leading consulting company McKinsey estimates that there will be a shortage of data scientists to enable organizations to explore the full potential of big data. By 2018, the United States alone will face a shortage of 140,000 to 190,000 professionals with strong analytical skills with the know-how to analyze big data to make effective decisions. This shortage will ...

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Components

  • Publications

    Publications of the project

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  • Theses

    MSc and PhD proposals in the context of this project

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  • 1. Data Science Projects Use Cases

    We will create 2 use cases from the domains of telecommunication and public administration to elicit requirements and to evaluate DataScience4NP syste...

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  • 2. Workflow Templates and Variability Modeling

    Develop workflow templates, which support variability modeling.

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  • 3. Containers and Service Modeling

    To model containers and the services which can be embedded in them.

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  • 4. Dynamic Service Adaption

    Implement and operationalize an algorithm to dynamically discover the services to be embedded into containers.

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  • 5. Platform Integration and Evaluation

    The various components developed will be integrated and the final system will be evaluated against the two use cases described in Task 1.

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  • 6. Dissemination and Exploitation

    Dissemination and exploitation of DataScience4NP project results

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  • Taverna Workflow Management System

    Taverna is an open source and domain-independent Workflow Management System – a suite of tools used to design and execute scientific workflows and aid...

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