医学统计学课程可以帮助您学习数据分析技术、研究设计原则、假设检验和临床试验结果的解释。您可以掌握分析患者数据、了解流行病学方法以及应用统计软件解决实际健康问题的技能。许多课程都会介绍 R、SAS 或 SPSS 等工具,这些工具支持有效地执行统计分析和实现健康数据的可视化。

Universidad de los Andes
您将获得的技能: Supervised Learning, Unsupervised Learning, Model Evaluation, Artificial Intelligence, Dimensionality Reduction, Probability & Statistics, Data Ethics, Machine Learning Methods, Linear Algebra, Responsible AI, Machine Learning, Natural Language Processing, Applied Machine Learning, Semantic Web, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning Algorithms, Statistical Machine Learning, Unstructured Data, Probability
提供的学分
MasterTrack · 6-12 个月

Pontificia Universidad Católica de Chile
您将获得的技能: Epidemiology, Diagnostic Tests, Public Health and Disease Prevention, Biostatistics, Healthcare Ethics, Social Determinants Of Health, Health Disparities, Descriptive Statistics, Public Health, Statistical Hypothesis Testing, Health Systems, Health Promotion, Health Technology, Infectious Diseases, Scientific Methods, Health Equity, Research Design, Occupational Health, Statistical Methods, Health Policy
提供的学分
MasterTrack · 6-12 个月

Universidad de los Andes
您将获得的技能: Real-Time Operating Systems, Semantic Web, Supervised Learning, LangChain, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Model Evaluation, Reinforcement Learning, Project Controls, Computer Vision, Biomedical Engineering, Natural Language Processing, MLOps (Machine Learning Operations), Artificial Intelligence, Model Deployment, Generative AI, Probability & Statistics, Control Systems, Data Ethics
获得学位
学位 · 1-4 年

University of Colorado Boulder
您将获得的技能: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Prompt Engineering, Sustainability Reporting, Database Design, Unsupervised Learning
获得学位
学位 · 1-4 年

University of Colorado Boulder
您将获得的技能: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Prompt Engineering, Sustainability Reporting, Database Design, Unsupervised Learning
获得学位
学位 · 1-4 年

IIT Roorkee
您将获得的技能: New Product Development, Mergers & Acquisitions, FinTech, Capital Budgeting, Brand Management, Supply Chain, Integrated Marketing Communications, Business Marketing, Sales Process, Business Valuation, Innovation, Succession Planning, Management Accounting, Statistical Process Controls, Product Management, Business Process Management, Supply Chain Management, Marketing Management, Revenue Management, Sampling (Statistics)
获得学位
学位 · 1-4 年

Genentech
您将获得的技能: 可维护性, 风险管理, R 语言程序设计(中文版), Agile 方法论, 数据共享, 质量保证, 数据质量, 临床研究, Devops, 临床试验, 临床数据管理, GitHub, 软件包和软件管理, 统计报告, 敏捷软件开发, 版本控制
中级 · 课程 · 1-3 个月

The University of Edinburgh
您将获得的技能: 机器学习, 图论, 数据伦理, 生物信息学, 自然语言处理, Python 程序设计, 统计建模, 网络分析, 数据整合, 生物医学技术, 大数据, 精准医疗, 健康信息学, 图像分析, 数据科学
中级 · 课程 · 1-3 个月

The State University of New York
您将获得的技能: 数据预处理, R 语言程序设计(中文版), 统计分析, 生物信息学, 分类算法, 生物医学技术, 分析, 预测建模, 功能工程, 分子生物学, 大数据, 数据挖掘, 健康信息学
高级设置 · 课程 · 1-3 个月

Imperial College London
您将获得的技能: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting
初级 · 课程 · 1-4 周

University of Colorado System
您将获得的技能: 分类算法, 机器学习算法, 数据处理, 患者评估, 分析, 生物信息学, 数据操作, 模型评估, 临床信息学, Data Validation, 性能测试, 信息学, 健康信息学, 临床数据管理, 数据科学
中级 · 课程 · 1-3 个月

Northeastern University
您将获得的技能: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks
初级 · 课程 · 1-4 周