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, Retrieval-Augmented Generation, AI Workflows, Prompt Engineering, Enterprise Security, Research Reports, Content Development and Management
状态：预览您将获得的技能: Tensorflow, Model Deployment, Data Pipelines, Keras (Neural Network Library), Google Cloud Platform, Data Preprocessing, Cloud Deployment, Embeddings, Feature Engineering, Deep Learning, Artificial Neural Networks, Model Evaluation, Machine Learning
状态：免费试用University of Colorado Boulder
您将获得的技能: Simulations, Mathematics Education, Science and Research, User Feedback, Technical Support
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining
状态：预览Google Cloud
您将获得的技能: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Artificial Neural Networks
状态：新状态：预览Northeastern University
您将获得的技能: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
状态：新状态：预览University of Colorado Boulder
您将获得的技能: Education Software and Technology, Mathematics Education, Simulations, Collaborative Software
状态：新状态：免费试用您将获得的技能: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
状态：新状态：预览Northeastern University
您将获得的技能: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
状态：预览Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
状态：新状态：预览您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
状态：预览Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Large Language Modeling, Text Mining
总之，以下是 10 最受欢迎的 clinical research 课程
- Apps de IA generativa: transforme seu trabalho: Google Cloud
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Aplicar Atividades PhET para Educação STEM: University of Colorado Boulder
- Attention Mechanism - 繁體中文: Google Cloud
- Create Image Captioning Models - Italiano: Google Cloud
- Statistical Learning for Engineering Part 2: Northeastern University
- Fractions for Primary Education with PhET Simulations: University of Colorado Boulder
- Image Classification with Keras: Build & Optimize: EDUCBA
- Machine Learning and Data Analytics Part 2: Northeastern University
- Attention Mechanism - Español: Google Cloud
