{"@id":"https://credentialengineregistry.org/resources/ce-9b5e60ff-5165-4e3b-808e-c9b6696e107d","@type":"ceterms:OpenBadge","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-9b5e60ff-5165-4e3b-808e-c9b6696e107d","ceterms:name":{"en-US":"WGU Certificate: Data Operations v1.0"},"ceterms:image":"https://api.badgr.io/public/badges/iSfwbKbxRDGk1VB9Ztmniw/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 Operations Certificate have demonstrated competence in the following areas via rigorous assessment activities completed through Western Governors University:\n\nData Management\n\nThe learner recommends an appropriate data architecture.  \nThe learner examines the data available for analysis to determine their dimension, quality, relations, and limitations. \nThe learner constructs a logical data model. \nThe learner implements physical data models by incorporating required data. \nThe learner performs database queries to answer a business question.  \nThe learner uses appropriate data manipulation language statements to manage data.\n\nData Preparation and Exploration\n\nThe learner profiles the data to gain critical insights.\nThe learner interprets probability, descriptive and inferential statistics and visualization.  \nThe learner wrangles data to ensure accuracy, format, and integrity relevant to the task being performed.\n\nDeployment\n\nThe learner analyzes a business case to determine the requirements necessary for deployment.  \nThe learner implements a data product pipeline to address organizational needs.   \nThe learner implements a function to call and receive information between multiple systems for deployment.  \nThe learner deploys a data product based on project requirements.\n\nCompetency Demonstration Highlights\n\nRecipients of this credential complete the following tasks and deliverables as part of their assessment activities:\n\nCreated a design document recommending an appropriate data architecture and  constructing logical and physical data models for their solution.\nAnalyzed a business case to determine the objectives, requirements, and constraints for a deployment model.\nAnalyzed selected data sets and described an organizational question or decision that could be addressed using the selected data set.\nDemonstrated ordinal, label, and one-hot encoding methods; and wrangled a transactional data set.\nWrote code to manage interactions between multiple systems, such as developing Python or R scripts for REST API creation.\nRecommended an appropriate data architecture, relational or non-relational database, and performed database queries for each using data manipulation language (DML) statements or equivalent for non-relational.\nImplemented a proof-of-concept data pipleline and explained what modifications would be necessary to address business constraints and requirements in a given scenario.\nProduced and interpreted descriptive statistics, including measures of central tendency, standard deviation, and shape of a selected data set. Produced and interpreted a Market Basket Analysis on a transactional data set.\nDeployed a data product based on business requirements and planned how to monitor the deployment's performance over time."},"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"},"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. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-1243.00","ceterms:codedNotation":"15-1243.00","ceterms:frameworkName":{"en-US":"O*Net Online"},"ceterms:targetNodeName":{"en-US":"Database Architects"},"ceterms:targetNodeDescription":{"en-US":"Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. 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