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Big-Data Skills: Bridging the Data Science Theory-Practice Gap in Healthcare

机译:大数据技能:弥合医疗保健的数据科学理论实践差距

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Demand for big-data scientists continues to escalate driving a pressing need for new graduates to be more fluent in the big-data skills needed by employers. If a gap exists between the educational knowledge held by graduates and big data workplace skills needed to produce results, workers will be unable to address the big data needs of employers.This survey explores big-data skills in the classroom and those required in the workplace to determine if a skills gap exists for big-data scientists. In this work, data was collected using a national survey of healthcare professionals. Participant responses were analyzed to inform curriculum development, providing valuable information for academics and the industry leaders who hire new data talent.
机译:对大数据科学家的需求继续升级,驾驶新毕业生更流利地升级雇主所需的大数据技能。 如果在毕业生和大数据工作场所技能所持的教育知识之间存在差距,则工人将无法满足雇主的大数据需求。这项调查探讨了课堂上的大数据技能和工作场所所需的数据技能 确定大数据科学家是否存在技能缺口。 在这项工作中,使用国家医疗专业人士的国家调查收集数据。 参与者的回应被分析以告知课程开发,为学术界和雇用新数据人才的行业领导者提供有价值的信息。

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