医学统计课程
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。
热门医学统计学课程和认证
状态：预览Duke University
您将获得的技能: Business Metrics, Business Analytics, Analytics, Business Intelligence, Tableau Software, Case Studies, Cash Flows, Big Data, Key Performance Indicators (KPIs), Spreadsheet Software, Data Analysis, Data-Driven Decision-Making, Web Analytics, Market Share, Database Software, E-Commerce
状态：预览The George Washington University
您将获得的技能: Law, Regulation, and Compliance, Health Equity, Informed Consent, Pharmaceuticals, Health Care Procedure and Regulation, Healthcare Ethics, Public Health and Disease Prevention, Health Disparities, Public Health, Health Policy, Regulation and Legal Compliance, Advocacy, Policy Analysis, Intellectual Property
状态：新状态：免费试用您将获得的技能: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
状态：免费试用O.P. Jindal Global University
您将获得的技能: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
状态：新状态：免费试用您将获得的技能: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Auditing, Content Strategy, Web Analytics, Content Performance Analysis, Technical Support, Extensible Markup Language (XML)
状态：免费您将获得的技能: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
状态：预览University of Lausanne
您将获得的技能: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies
状态：预览您将获得的技能: ChatGPT, Practice Management Software, Technology Roadmaps, Patient Flow, Generative AI, Clinic Management Systems, AI Workflows, Prompt Engineering, Business Process Automation, Software As A Service, Patient Communication, Health Informatics
您将获得的技能: Model Evaluation, Logistic Regression, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Applied Machine Learning, Data Analysis, Classification Algorithms
状态：预览Johns Hopkins University
您将获得的技能: Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Data Analysis, Data Presentation, Team Management, Analytical Skills, Data-Driven Decision-Making, Data Strategy, Statistical Inference, Communication, Communication Strategies
您将获得的技能: Data Warehousing, Data Integration, Database Administration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis, Google Analytics
状态：免费Amazon Web Services
您将获得的技能: Customer experience improvement, Customer Relationship Management, Customer Insights, Customer Service, Trend Analysis, Employee Performance Management, Text Mining, System Implementation
总之，以下是 10 最受欢迎的 medical statistics 课程
- 데이터 중심 기업을 위한 비즈니스 지표: Duke University
- Vaccine Law and Policy: The George Washington University
- Python: Logistic Regression & Supervised ML: EDUCBA
- Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
- SEO Audits: Find & Fix Common Website SEO Issues : Skillshare
- TensorFlow Prediction: Identify Penguin Species: Coursera
- HEALTHY URBAN SYSTEMS - PART 1: University of Lausanne
- GenAI for Patient Scheduling & Appointment Management : Coursera
- Predict Visitor Purchases with a Classification Model in BQML: Google Cloud
- Datenanalyse verwalten: Johns Hopkins University
