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：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：预览您将获得的技能: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
状态：新状态：免费试用您将获得的技能: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
状态：新状态：免费试用您将获得的技能: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
状态：新状态：免费试用您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Data Preprocessing, Text Mining, Recurrent Neural Networks (RNNs), Deep Learning, Model Evaluation, Tensorflow
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
状态：新状态：预览您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
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：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：预览您将获得的技能: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing
状态：免费状态：免费试用Universidad de los Andes
您将获得的技能: Prototyping, Usability Testing, UI/UX Research, Augmented and Virtual Reality (AR/VR), Virtual Reality, Virtual Environment, Augmented Reality, 3D Assets, Development Environment, Development Testing
状态：预览您将获得的技能: User Experience Design, Design Reviews, Prototyping, User Experience, Interaction Design, Mockups, Peer Review, UI/UX Research, Wireframing, Design Software, Collaborative Software
总之，以下是 10 最受欢迎的 clinical research 课程
- Create Image Captioning Models - Italiano: Google Cloud
- Predictive Modeling with Python: Apply & Evaluate: EDUCBA
- AI Deep Learning Projects with TensorFlow: EDUCBA
- Neural Models and Machine Translation: Edureka
- Chatbots with Keras & NLP: Build & Evaluate: EDUCBA
- Statistics for Data Science with Python: EDUCBA
- Python: Master House Price Prediction with Linear Regression: EDUCBA
- Data Science Fundamentals Part 2: Unit 2: Pearson
- Fractions for Primary Education with PhET Simulations: University of Colorado Boulder
- Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
