可复制研究课程
可重复研究课程可以帮助您学习数据管理、统计分析和有效的文档实践。您可以掌握版本控制、数据 Visualization 以及创建可增强协作的可重现工作流程等方面的技能。许多课程都会介绍 R、Python 和 Git 等工具，这些工具支持开展和共享他人可以轻松验证和复制的研究。
热门可复制研究课程和认证
您将获得的技能: Model Evaluation, Responsible AI, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Data Ethics, Development Environment, Software Engineering
Google Cloud
您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Embeddings, Big Data, Google Gemini, Data Processing, Identity and Access Management, Google Cloud Platform, LLM Application
状态：新状态：免费试用Google
您将获得的技能: Data Transformation, JSON, Data Preprocessing, Data Structures, Data Validation
您将获得的技能: Data Sharing, Customer Data Management, Data Integration, Big Data, Data Access, Business Intelligence, Google Cloud Platform, Data Visualization, Data Management, Cloud Computing
状态：预览Fred Hutchinson Cancer Center
您将获得的技能: Grant Writing, Data Sharing, Grant Applications, Data Storage, Data Management, Health Policy, Technical Writing, Health Care Procedure and Regulation
您将获得的技能: Data Loss Prevention, Personally Identifiable Information, Data Pipelines, Cloud-Based Integration, Cloud Storage, Data Security, Data Integration, Data Management, Data Transformation, Cloud Management, DevOps
总之，以下是 6 最受欢迎的 reproducible research 课程
- Interpretable machine learning applications: Part 5: Coursera
- Create a RAG Application with BigQuery: Google Cloud
- Explore Raw Data: Google
- Data Publishing on BigQuery using Authorized Views for Data Sharing Partners: Google Cloud
- Data Management and Sharing for NIH Proposals: Fred Hutchinson Cancer Center
- Redacting Confidential Data within your Pipelines in Cloud Data Fusion: Google Cloud
