{"@id":"https://credentialengineregistry.org/resources/ce-347f9830-1903-409f-986a-132a9b98f144","@type":"ceterms:OpenBadge","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-347f9830-1903-409f-986a-132a9b98f144","ceterms:name":{"en-US":"Python for Data Analytics"},"ceterms:image":"https://api.badgr.io/public/badges/8sMP1809Q1SpdgIrKx6LEA/image","ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-c15645f2-d333-42cc-8c9a-67f13425e731"],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Open Badges Criteria"},"ceterms:description":{"en-US":"The badge is awarded to students who receive a C or higher after completing Unit5: Python for Data Analytics. The unit includes attending the class sessions and completion of assigned readings related to Python programming and its applications in data analytics. Successful completion of hands-on labs and exercises that focus on Python libraries (e.g., NumPy, Pandas, Matplotlib) to manipulate, analyze, and visualize data. Completion of project or case study that address real-world data challenges related to data analysis and presentation of findings in a clear and effective manner. Rubric includes evaluation of the quality of the work submitted, including code quality, documentation, and adherence to best practices in Python programming.\n\nThe criteria for earning the badge includes completion of reading, exercises, labs and presentations related to the following topics:\n\n*Learning Python basic programming language\n*Utilizing pandas library for data manipulation, filtering and aggregation\n*Using NumPy for numerical operations\n*Creating and presenting a variety of visualizations using matplot lib\n*Hands-on labs and exercises that focus on Python libraries (e.g., NumPy, Pandas, Matplotlib) to manipulate, analyze, and visualize data with a grade of C or higher\n*Completion of a case study that demonstrates using Python libraries and tools for data analysis in a real world context specifically code quality, documentation, and adherence to best practices in Python programming with a grade of C or higher."},"ceterms:targetCompetency":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNode":"https://talentneuron.com/","ceterms:codedNotation":"TN-34654","ceterms:frameworkName":{"en-US":"TALENT_NEURON"},"ceterms:targetNodeName":{"en-US":"Pandas"},"ceterms:targetNodeDescription":{"en-US":"A competency related to this credential"}}]},{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Requires 'LearningOpportunity': Data Analytics"},"ceterms:description":{"en-US":"To earn this credential, candidates must complete the learning opportunity: Data Analytics"},"ceterms:targetLearningOpportunity":["https://credentialengineregistry.org/resources/ce-f76261b7-1f79-4112-9067-0cce9af2e386"]}],"ceterms:offeredBy":["https://credentialengineregistry.org/resources/ce-c15645f2-d333-42cc-8c9a-67f13425e731"],"ceterms:inLanguage":["en-US"],"ceterms:description":{"en-US":"Earners of this badge will demonstrate proficiency in leveraging Python libraries and tools such as pandas, numpy, and matplotlib for data manipulation, statistical analysis and to create visualizations to derive insights from data."},"ceterms:credentialId":"https://api.badgr.io/public/badges/8sMP1809Q1SpdgIrKx6LEA","ceterms:dateEffective":"2024-02-21","ceterms:isRequiredFor":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Is Required For"},"ceterms:targetLearningOpportunity":["https://credentialengineregistry.org/resources/ce-f76261b7-1f79-4112-9067-0cce9af2e386"]}],"ceterms:subjectWebpage":"https://api.badgr.io/public/badges/8sMP1809Q1SpdgIrKx6LEA","ceterms:credentialStatusType":{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/CredentialStatus","ceterms:targetNode":"credentialStat:Active","ceterms:frameworkName":{"en-US":"Credential Status"},"ceterms:targetNodeName":{"en-US":"Active"},"ceterms:targetNodeDescription":{"en-US":"Awards of the credential are ongoing."}},"ceterms:usesVerificationService":["https://credentialengineregistry.org/resources/ce-d3f98c17-c2f5-496b-8968-7979964edefc"]}