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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.
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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Citation
Components
Publications
Publications of the project
Theses
MSc and PhD proposals in the context of this project
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...
2. Workflow Templates and Variability Modeling
Develop workflow templates, which support variability modeling.
3. Containers and Service Modeling
To model containers and the services which can be embedded in them.
4. Dynamic Service Adaption
Implement and operationalize an algorithm to dynamically discover the services to be embedded into containers.
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.
6. Dissemination and Exploitation
Dissemination and exploitation of DataScience4NP project results
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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