R 课程
R 课程可以帮助您学习数据操作、统计分析、数据可视化和编程基础。您可以掌握创建可重复研究、执行 Regression 分析和实施机器学习算法的技能。许多课程都会介绍 RStudio 等工具以及 ggplot2 和 dplyr 等软件包，这些都能提高您分析数据集和有效展示研究结果的能力。
热门 R 课程和认证
Pragmatic AI Labs
您将获得的技能: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
您将获得的技能: Object Oriented Design, Ruby (Programming Language), Performance Tuning, Data Persistence, Maintainability, Application Design, Software Engineering, Development Environment, Application Development, Application Security, Unit Testing, Scalability, Software Design, Debugging, Application Deployment, Software Configuration Management, Business Logic
Coursera
Pragmatic AI Labs
您将获得的技能: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Scalability, Authentications, Data Validation
您将获得的技能: Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Stakeholder Communications, Large Language Modeling, Real Time Data, AI Enablement, Information Privacy, Performance Testing, Personally Identifiable Information, Regulation and Legal Compliance, Prompt Engineering, Reinforcement Learning, Inventory Management System, Stakeholder Analysis
您将获得的技能: Jenkins, CI/CD, Continuous Integration, Version Control, Git (Version Control System), Java, Data Validation, Application Development, Object Oriented Programming (OOP), Software Architecture, Data Modeling
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning
您将获得的技能: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Development Testing, Object Oriented Programming (OOP), Integrated Development Environments, Development Environment, Prototyping, Storyboarding
University of Toronto
您将获得的技能: 生命科学, 数据分析, 生物统计学
Coursera
您将获得的技能: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Extract, Transform, Load, Cloud Computing, Data Processing, Data Cleansing, Data Warehousing, Maintainability
总之，以下是 10 最受欢迎的 r programming 课程
- RAG Systems and Production Operations: Coursera
- Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- Build Advanced Ruby Applications Through Projects: EDUCBA
- Script Sprint Duplication: Coursera
- GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
- AI Techniques, Causal Inference & Business Optimization: Coursera
- Build Employee Management System with Jenkins: EDUCBA
- Start Neural Networks Advanced Model Architectures: Coursera
- Meta iOS UI Development: Meta
