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
状态：新状态：免费试用您将获得的技能: LangGraph, Generative AI Agents, AI Orchestration, Agentic systems, AI Workflows, OpenAI API, LLM Application, Agentic Workflows, Prompt Patterns, OpenAI, Large Language Modeling, AI Enablement, Retrieval-Augmented Generation, Artificial Intelligence, Development Environment, Tool Calling, Microsoft Azure, AI Personalization, Microsoft Development Tools, Microsoft Visual Studio
状态：免费试用University of Michigan
您将获得的技能: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Coursera
您将获得的技能: C++ (Programming Language), Data Structures, File I/O, Data Store, Data Cleansing, Data Mapping, Data Integrity
状态：免费试用Duke University
您将获得的技能: Algorithm, 数据管道, Python 程序设计, 命令行界面, 微服务, 云工程, 软件包和软件管理, 测试自动化, 集装箱化, AWS SageMaker, 应用机器学习, CI/CD, Jupyter
您将获得的技能: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
状态：免费试用University of Michigan
您将获得的技能: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms
状态：免费试用Meta
您将获得的技能: SQL, 关系数据库, 数据分析, 事务处理, JSON, 存储过程, MySQL, Query 语言, 数据库开发, 性能调整, 数据库管理
状态：免费试用LearnQuest
您将获得的技能: 数据结构, SQL, 数据库设计, Oracle 数据库, Query 语言, 数据库管理, 性能调整
您将获得的技能: Version Control, Object Oriented Programming (OOP), C# (Programming Language), Microsoft Visual Studio, Development Environment, Program Development, Integrated Development Environments, Computer Programming, Programming Principles
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Applied Machine Learning, Data Transformation, Keras (Neural Network Library), Data Pipelines, Data Modeling, Machine Learning, Python Programming, Statistical Methods
您将获得的技能: Javascript, Data Structures, Scripting, Computer Programming
状态：预览The University of Melbourne
您将获得的技能: 营养与饮食, 社会经济学, 公共卫生, 慢性疾病, 儿童健康, 心理健康, 人类发展, 健康促进, 健康差异, 健康教育, 社区卫生, 卫生政策, 健康的社会决定因素
总之，以下是 10 最受欢迎的 r programming 课程
- AI Agents with LangGraph, Semantic Kernel, and AutoGen: Packt
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- C++ Data Structures in the STL: Coursera
- 用于数据工程的网络应用程序和命令行工具: Duke University
- Explainable AI: Scene Classification and GradCam Visualization : Coursera
- More Applied Data Science with Python: University of Michigan
- 高级 MySQL 主题: Meta
- Oracle SQL 基础知识: LearnQuest
- Introduction to Programming with C#12 and .NET8: Packt
- Feature Engineering en Español: Google Cloud
