{"@id":"https://credentialengineregistry.org/resources/ce-82d2de7e-311f-4c39-a186-4e46cd7dcdd6","@type":"ceterms:CertificateOfCompletion","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-82d2de7e-311f-4c39-a186-4e46cd7dcdd6","ceterms:name":{"en-US":"Python for Data Analytics"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-f030d822-c322-4c0e-ba33-1f804d5d2f65"],"ceterms:offeredBy":["https://credentialengineregistry.org/resources/ce-f030d822-c322-4c0e-ba33-1f804d5d2f65"],"ceterms:inLanguage":["en-US"],"ceterms:description":{"en-US":"The course will take students through the basics of programming (variables, data structures, loops, conditionals, etc.) and into Python Libraries for data analysis (Numpy, Matplotlib, etc.). Basic statistics will also be covered to help students interpret data, such as basic summary statistics and how to recognize common statistical distributions. All this will culminate in analysis and visualization of real data sets of the student's choosing. This course meets two evenings per week, three hours per session. Occasional labs outside classes will provide further opportunities for mentoring and networking."},"ceterms:subjectWebpage":"https://www.sunyacc.edu/great-futures-high-demand-careers-start-here","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."}}}