医疗保健数据分析课程
医疗保健数据分析课程可以帮助您学习统计分析、数据解析、数据可视化、预测建模和患者疗效测量。您可以掌握解读复杂数据集、识别医疗保健服务趋势以及做出数据驱动决策以改善患者护理的技能。许多课程都会介绍 R、Python 和 Tableau 等工具，这些工具支持分析医疗保健数据和创建有影响力的 Visualization 报告，以便向利益相关者介绍趋势和结果。
热门医疗保健数据解析课程与认证
Amazon Web Services
您将获得的技能: Amazon Web Services, MongoDB, NoSQL, Cloud-Based Integration, Cloud Applications, Operational Databases
状态：新状态：预览您将获得的技能: Unreal Engine, 3D Assets, Animations, Data Import/Export
状态：新Google Cloud
您将获得的技能: Generative AI Agents, Generative AI, Google Cloud Platform, Gemini, Responsible AI, AI Security, AI Product Strategy, AI Enablement, Data Ethics, Cloud Infrastructure, Data Governance, Artificial Intelligence, Data Centers, MLOps (Machine Learning Operations)
状态：新Google Cloud
您将获得的技能: Responsible AI, Generative AI, AI Security, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation
Google Cloud
您将获得的技能: Generative AI, AI Personalization, Web Content, Web Analytics and SEO, Prompt Engineering, Google Cloud Platform, Content Management, User Experience Design
您将获得的技能: Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Business Ethics, Google Cloud Platform, AI Product Strategy, Ethical Standards And Conduct, Regulatory Compliance, Governance, Stakeholder Engagement, Safety and Security
Google Cloud
您将获得的技能: Generative AI, AI Personalization, Web Content, AI Enablement, Google Cloud Platform, Prompt Engineering, Web Analytics and SEO, Content Management, Web Design and Development
您将获得的技能: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, MLOps (Machine Learning Operations), Model Evaluation, Data Quality
状态：预览您将获得的技能: Responsible AI, Artificial Intelligence, Data Ethics, Business Ethics, Governance, AI Product Strategy, AI Security, Ethical Standards And Conduct, Continuous Improvement Process, Cross-Functional Collaboration
Google Cloud
您将获得的技能: Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Generative AI, Kubernetes, Identity and Access Management, Infrastructure As A Service (IaaS), Cloud Storage, Cloud Services, Cloud Applications, Cloud Deployment, Data Storage, Public Cloud, Containerization, Application Development, Serverless Computing, Virtual Machines, Platform As A Service (PaaS), Virtual Networking
状态：新您将获得的技能: Dataflow, Serverless Computing, Data Pipelines, Cloud Security, Identity and Access Management, Google Cloud Platform, Data Processing, Cloud Storage, Data Storage Technologies, Distributed Computing, Data Transformation
您将获得的技能: Responsible AI, Data Ethics, AI Product Strategy, Artificial Intelligence, AI Enablement, Google Cloud Platform, Open Source Technology, Model Evaluation
总之，以下是 10 最受欢迎的 healthcare data analytics 课程
- Getting Started with Amazon DocumentDB (with MongoDB compatibility): Amazon Web Services
- Unreal Engine: Apply & Demonstrate Skeletal Animation: EDUCBA
- 生成式 AI：掌握幕後技術與環境: Google Cloud
- 生成式 AI：剖析基本概念: Google Cloud
- 在 Google Cloud 上使用生成式 AI 进行网站现代化改造: Google Cloud
- Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
- 在 Google Cloud 運用生成式 AI 翻新網站: Google Cloud
- Responsible AI for Developers: Fairness & Bias - Deutsch: Google Cloud
- Responsible AI: Applying AI Principles with GC - Indonesia: Google Cloud
- Google Cloud-Grundlagen: Kerninfrastruktur: Google Cloud
