您将获得的技能: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Health Care, Health Systems, Health Policy, Medical Science and Research, Liberal Arts, Cultural Sensitivity, Case Studies, Storytelling, Empathy & Emotional Intelligence

您将获得的技能: Splinting, Trauma Care, Emergency Medicine, Wound Care, First Aid, Patient Positioning, Triage, Orthopedics, Patient Evaluation, Emergency Response, Pain Management, Vital Signs, Clinical Assessment

您将获得的技能: 心理学, 文化多样性, 道德标准与行为, 心理健康疾病与障碍, 遵守《健康保险便携性和责任法案》（HIPAA）, 行为健康, 心理健康, 精神病和心理健康护理, 心理健康疗法

您将获得的技能: Medical Terminology, Vocabulary, Language Learning, Language Interpretation, Translation, and Studies, Nutrition and Diet, Ancient History, Mental and Behavioral Health

您将获得的技能: 政策制定, 家庭保健和辅助生活, 长期护理, 感染控制, 社区卫生, 教育与培训, 公共卫生, 心理健康, 诊断测试, 传染病, 个人防护设备, 病人沟通, 应急响应

您将获得的技能: Maternal Health, Social Justice, Health Equity, Health Disparities, Medical Practices and Procedures, Social Determinants Of Health, Epidemiology, Health Policy, Healthcare Ethics, Public Health, Policy Analysis, Public Policies, Research

您将获得的技能: Medical Emergency, Acute Care, Critical Care, Triage, Emergency Medical Services, Patient Evaluation, Emergency Departments, Neurology, Clinical Assessment, Patient Treatment, Diagnostic Tests

您将获得的技能: Drug Development, Clinical Research, Clinical Trials, Statistical Analysis, Predictive Modeling, R Programming, Data Analysis, Statistical Methods, Health Policy, Data Science, Epidemiology, Healthcare Industry Knowledge, Data Quality, Electronic Medical Record

您将获得的技能: 数据转换, Data Validation, 健康信息学, 数据库系统, 数据清理, 数据整合, 健康信息管理, 数据建模, 数据分析, 关系数据库, 星形模式, 分析, 数据质量, 数据仓库, 电子病历

您将获得的技能: Python 程序设计, 无监督学习, 数据转换, 数据预处理, Scikit-learn （机器学习库）, 机器学习, 人工神经网络, 监督学习, 预测建模, 分类算法, 降维, 应用机器学习, 数据清理, 随机森林算法

您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis

您将获得的技能: 数据管理, Data Validation, 数据扫盲, 临床数据管理, 医疗记录, Data Governance, 数据质量, 健康信息管理, 技术交流, 变更控制, 元数据管理