{"@id":"https://credentialengineregistry.org/resources/ce-87151794-b6c1-4730-8eb0-508b3ee8ad92","@type":"ceterms:OpenBadge","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-87151794-b6c1-4730-8eb0-508b3ee8ad92","ceterms:name":{"en-US":"WGU Certificate: Data Analytics Professional v1.0"},"ceterms:image":"https://api.badgr.io/public/badges/9xOGioD6TqaEBCDpXWOzPw/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 Analytics Professional Certificate have demonstrated competence in the following areas via rigorous assessment activities completed through Western Governors University:\n\nThe Data Analytics Journey\n\nThe learner applies the data analytics life cycle to real world business scenarios. \nThe learner proposes a data analytics plan to solve a business problem.\nThe learner differentiates the variety of careers and roles related to the broad field of data analytics. \nThe learner identifies potential career goals based on foundational knowledge of self and career pathways.\n\nStatistical Data Mining\n\nThe learner performs linear and logistic regressions to make recommendations based on the results. \nThe learner performs principal component analysis to make recommendations based on the results.\n\nData Storytelling for Diverse Audiences\n\nThe learner demonstrates how interpersonal skills are applied to effectively communicate.\nThe learner conducts an audience analysis. \nThe learner communicates data insights to technical and nontechnical audiences. \nThe learner creates data representations to offer insight into an organizational problem. \nThe learner designs interactive dashboards to support executive decision-making.\n\nCompetency Demonstration Highlights\n\nRecipients of this credential complete the following tasks and deliverables as part of their assessment activities:\n\nAnalyzed different career paths in  data analytics field and created a career plan.\nApplied a deterministic linear approach to dimensional reduction to perform a principal component analysis to solve a business scenario.\nApplied a supervised learning approach to perform a linear regression to solve a business scenario. \nCreated a multimedia presentation including dashboards to communicate key results of data analysis and reflected upon their use of audience analysis, design for universal access, and elements of effective storytelling in the creation process.\nDescribed the phases of the Data Analytics Lifecycle and evaluated their level of expertise with each.\nIdentified their career strengths and academic interests to reflect on their personal career goals.\nRecommended a data analytics tool or technique for an organization, explaining their decision-making process,  identifying potential risks, and highlighting ethical considerations."},"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 Code"},"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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