临床研究课程
临床研究课程可以帮助您学习研究设计、数据收集方法、统计分析和研究中的伦理考虑因素。您可以掌握招募患者、数据管理和解释临床试验结果的技能。许多课程都会介绍一些工具，如用于数据分析的统计软件、电子数据采集系统和项目管理平台，这些都有助于高效开展研究。
热门临床研究课程和认证
状态：新Google Cloud
您将获得的技能: Google Gemini, Generative AI, Google Workspace, Productivity Software, Google Cloud Platform, Workflow Management, Prompt Engineering, Enterprise Security, Research Reports, Content Development and Management
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Google Cloud
您将获得的技能: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing
状态：预览您将获得的技能: User Experience Design, Design Reviews, Prototyping, Interaction Design, Mockups, UI/UX Research, Wireframing, Usability Testing, User Flows
状态：预览Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Generative AI, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Natural Language Processing
状态：新状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
状态：预览Google Cloud
您将获得的技能: Artificial Neural Networks, Text Mining, Deep Learning, Machine Learning, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning
状态：预览Google Cloud
您将获得的技能: Keras (Neural Network Library), Tensorflow, Generative Model Architectures, Natural Language Processing, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Text Mining
状态：免费试用Universidades Anáhuac
您将获得的技能: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Image Analysis, Computer Vision, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Python Programming
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures
状态：预览您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, MLOps (Machine Learning Operations), Deep Learning, Data Cleansing, Cloud Computing, Data Transformation, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)
总之，以下是 10 最受欢迎的 clinical research 课程
- Apps de IA generativa: transforme seu trabalho: Google Cloud
- Data Science Fundamentals Part 2: Unit 1: Pearson
- Attention Mechanism - Deutsch: Google Cloud
- From Concept to Critique: Prototyping with Sketch: Coursera
- Encoder-Decoder Architecture - בעברית: Google Cloud
- Data Science Fundamentals Part 2: Unit 2: Pearson
- Attention Mechanism - Español: Google Cloud
- Learning Deep Learning: Unit 3: Pearson
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
