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。

您将获得的技能: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
初级 · 课程 · 1-3 个月

您将获得的技能: Virtual Teams, Operational Efficiency, Process Improvement and Optimization, Telecommuting, Process Analysis, Workflow Management, Business Process Automation, Team Management, Employee Engagement, Operations Management, Automation, Change Management, Data Security, Remote Access Systems
中级 · 课程 · 1-4 周

Johns Hopkins University
您将获得的技能: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
中级 · 课程 · 1-3 个月

Coursera
您将获得的技能: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning
初级 · 指导项目 · 不超过 2 小时

L&T EduTech
您将获得的技能: Structural Engineering, Structural Analysis, Construction Engineering, Civil Engineering, Construction, Engineering Analysis, Building Codes, Engineering Practices, Engineering Calculations, Finite Element Methods
高级设置 · 课程 · 1-3 个月

Pearson
您将获得的技能: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
中级 · 专项课程 · 1-4 周

您将获得的技能: Prompt Engineering, LLM Application, OpenAI API, Large Language Modeling, Embeddings, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, AI Enablement, Model Evaluation
中级 · 课程 · 1-4 周

Università di Napoli Federico II
您将获得的技能: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
中级 · 课程 · 1-4 周

您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Deployment, Data Pipelines, Google Cloud Platform, Deep Learning, Cloud Deployment, Data Preprocessing, Artificial Neural Networks, Applied Machine Learning, Scalability, Data Transformation
中级 · 课程 · 1-3 个月

您将获得的技能: Writing, Writing and Editing, Honesty, Storytelling, Journals, Editing, Content Creation, Personal Development, Investigation, Self-Awareness
初级 · 课程 · 1-4 周

Dartmouth College
您将获得的技能: Culture, Cultural Diversity, Research, Storytelling, Liberal Arts, Writing
混合 · 课程 · 1-4 周

您将获得的技能: Remote Access Systems, Desktop Support, Technical Support, Help Desk Support, Data Ethics, Network Troubleshooting, Telecommuting, Information Technology, Collaborative Software, Data Security, Artificial Intelligence
初级 · 课程 · 1-4 周