图论课程
图论课程可以帮助您学习顶点、边、路径和循环，以及连通性和图着色等概念。您可以掌握适用于计算机科学、生物学和社会科学等各个领域的 Network 分析、Algorithm 设计和问题解决技巧。许多课程都会介绍用于图分析的 Python 库、Visualization 软件和优化 Networking 流量的算法等工具，让您能够将所学知识应用到现实世界的数据和复杂系统中。
热门图论课程和认证
University of California San Diego
您将获得的技能: 数学理论与分析, 组合学, 计划发展, 图论, 算法, Algorithm, 理论计算机科学, 网络分析, 交通流优化, 制图
University of California San Diego
您将获得的技能: 数据结构, 社交网络分析, 算法, Java, Javascript, 生物信息学, 路由协议, Python 编程, 计算机编程, 计算思维, 图论, 数据存储, C 和 C++, Algorithm, 开发测试, 理论计算机科学, 编程原则, 网络分析, 拉斯特（编程语言）, 调试, 软件测试
University of California San Diego
您将获得的技能: 加密技术, Encryption, 组合学, 图论, 概率, Python 编程, 密码协议, 算法, 算术, 计算思维, Algorithm, 逻辑推理, 网络安全, 计算逻辑, 理论计算机科学, 概率分布, 关键管理, 加密, 网络分析, 贝叶斯统计, 演绎推理, 制图
University of California San Diego
您将获得的技能: 数据结构, 社交网络分析, 路由协议, 网络路由, 图论, 算法, 网络模型, Algorithm, 编程原则, 网络分析
Birla Institute of Technology & Science, Pilani
您将获得的技能: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Computational Thinking, Problem Solving, Embeddings
University of Colorado Boulder
您将获得的技能: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Combinatorics, Data Science, Computer Science, Mathematical Modeling, Mathematical Software, Python Programming
是什么让您今天来到 Coursera？
Johns Hopkins University
您将获得的技能: Social Network Analysis, Network Analysis, Graph Theory, R (Software), Social Sciences, Statistical Analysis, R Programming, Statistical Software, Sociology, Network Model, Statistical Modeling, Statistical Hypothesis Testing, Statistical Methods, Dependency Analysis
您将获得的技能: Graph Theory, Network Analysis, Network Model, Social Network Analysis, NoSQL, Data Store, Data Science, Query Languages, Visualization (Computer Graphics), Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms, Quantum computing
DeepLearning.AI
您将获得的技能: 图论, 大型语言建模, 嵌入, 检索-增强生成, LangChain, 及时工程, 数据存储, 非结构化数据, Prompt Engineering, 查询语言, 矢量数据库, 法学硕士申请
Princeton University
您将获得的技能: Java 编程, 计算机科学, 算法, 数据结构, 计算机系统, 计算机编程, 可扩展性, 计算机结构, Algorithm, 理论计算机科学, 计算逻辑, 计算机硬件
Princeton University
您将获得的技能: Java 编程, 数据结构, 算法, Java, 图论, 计算思维, Algorithm, 性能测试, 空间数据分析, 内存管理
您将获得的技能: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms
总之，以下是 10 最受欢迎的 graph theory 课程
- 图论入门: University of California San Diego
- 数据结构和算法: University of California San Diego
- 计算机科学离散数学入门: University of California San Diego
- 图上算法: University of California San Diego
- Graphs and Networks: Birla Institute of Technology & Science, Pilani
- Foundations of Data Structures and Algorithms: University of Colorado Boulder
- Social Network Analysis: Johns Hopkins University
- Modern Graph Theory Algorithms with Python: Packt
- RAG 知识图谱: DeepLearning.AI
- 计算机科学 算法、理论和机器: Princeton University
