{"@id":"https://credentialengineregistry.org/resources/ce-b7b5ee0f-38e6-430b-9679-90fa4ef3bc26","@type":"ceterms:OpenBadge","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-b7b5ee0f-38e6-430b-9679-90fa4ef3bc26","ceterms:name":{"en-US":"WGU Specialization: Data Science Professional v1.0"},"ceterms:image":"https://api.badgr.io/public/badges/Fpn3_eT5TxyUbfHbXzXVeg/image","ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-036d082d-d80e-41a7-99a0-2d63a4ad3a4a"],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Open Badges Criteria"},"ceterms:assertedBy":["https://credentialengineregistry.org/resources/ce-036d082d-d80e-41a7-99a0-2d63a4ad3a4a"],"ceterms:description":{"en-US":"Credential Detail\n\nRecipients of WGU's Data Science Professional Specialization have demonstrated competence in the following areas via rigorous assessment activities completed through Western Governors University:\n\nMachine Learning\n\nThe learner recommends a supervised machine learning model based on a comparison of model performance given a business problem. \nThe learner recommends a unsupervised machine learning model based on a comparison of model performance given a business problem. \nThe learner applies time series models in generating forecasts.\n\nAdvanced Analytics\n\nThe learner applies neural networks to solve a business problem.  \nThe learner applies natural language processing to solve a business problem.\n\nOptimization\n\nThe learner analyzes a business case to recommend a particular optimization approach.  \nThe learner identifies the objective function and constraints for an optimization problem.  \nThe learner solves an optimization problem programmatically.\n\nCompetency Demonstration Highlights\n\nRecipients of this credential complete the following tasks and deliverables as part of their assessment activities:\n\nAnalyzed possible approaches to an optimization problem, justified their selected solution, and assessed the risks and limitations of their choice.\nCoded a solution to an optimization problem, invoking a solver in their code, and analyzed their solution and its output.\nDesigned a computer vision analysis project using neural network models and natural language processing techniques, prepared the data, performed the analysis, and discussed the process and results.\nLeveraged neural network models to analyze text-based sentiment tracking data or to incorporate text to caption or describe images, audio, or video data; and discussed the process, results, and ethical considerations of their work.\nProposed a data mining project using a time series modeling technique, justified their approach, prepared the data, performed the analysis, and reported the results and implications.\nProposed a data mining project using k-means or hierarchical techniques, justified their approach, prepared the data, performed the analysis, and discussed the results and implications.\nProposed a data mining project using k-nearest neighbor (KNN) or Naive Bayes methods, justified their approach, prepared the data, performed the analysis, and presented the results and implications.\nRecommended an optimization approach to solve a business scenario."},"ceterms:subjectWebpage":"https://www.wgu.edu","ceterms:targetCompetency":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-2051.00","ceterms:codedNotation":"15-2051.00","ceterms:frameworkName":{"en-US":"O*Net OnLine by U.S. Department of Labor"},"ceterms:targetNodeName":{"en-US":"Data Scientists"},"ceterms:targetNodeDescription":{"en-US":"Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. 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