Data Structure 和 Algorithm 课程可以帮助您学习数组、Linked List、树和图结构,以及排序和搜索算法。您可以培养解决问题、优化代码效率和分析算法复杂性的技能。许多课程都会介绍 Python、Java 或 C++ 等工具来实现这些概念,并提供编码挑战平台,通过实际应用来强化您的理解。

University of California San Diego
您将获得的技能: Python 编程, 编程原则, 生物信息学, 拉斯特(编程语言), 算法, 计算机编程, 软件测试, 计划发展, 网络分析, 开发测试, 测试案例, 数据存储, 数据结构, 调试, 理论计算机科学, 计算思维, Java, C 和 C++, 图论, Javascript, Algorithm
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, C# (Programming Language), Performance Tuning, Programming Principles, Server Side, Scalability, Application Performance Management
初级 · 课程 · 1-3 个月

您将获得的技能: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Java Programming, Algorithms, Software Testing, Java, Computer Programming, Software Development, Scalability
初级 · 课程 · 1-4 周

您将获得的技能: Python 编程, 数据分析, 编程原则, Pandas(Python 软件包), Jupyter, 应用编程接口 (API), 网络抓取, 自动化, NumPy, 面向对象编程(OOP), 数据操作, 计算机编程, 数据导入/导出, 数据结构, JSON, 恢复性应用程序接口, 文件输入/输出
初级 · 课程 · 1-3 个月

Stanford University
您将获得的技能: 生物信息学, 编程原则, 社交网络分析, 算法, 分析, 数据结构, 伪代码, 计算逻辑, 网络分析, 运筹学, 计算机科学, 理论计算机科学, 网络模型, 计算思维, 网络路由, 图论, 概率, Algorithm
中级 · 专项课程 · 3-6 个月

Meta
您将获得的技能: 编程原则, 算法, 伪代码, 计算机科学, 数据结构, 理论计算机科学, 软件可视化, 计算思维, 交流, 技术交流, Algorithm
中级 · 课程 · 1-4 周

University of California San Diego
您将获得的技能: 编程原则, 算法, 数据存储, C++(编程语言), 计算机编程, 数据结构, 文件管理, Java 编程, Java, Algorithm
中级 · 课程 · 1-3 个月

Princeton University
您将获得的技能: 算法, 计算机编程, 性能测试, 面向对象编程(OOP), 数据结构, 理论计算机科学, Java 编程, Java, Algorithm
中级 · 课程 · 3-6 个月

Birla Institute of Technology & Science, Pilani
您将获得的技能: Algorithms, Programming Principles, Data Science, Data Management, Computational Thinking, Data Manipulation, C and C++, Software Design, Analysis, Problem Solving, Complex Problem Solving
混合 · 课程 · 1-3 个月

您将获得的技能: Data Structures, Graph Theory, Algorithms, Computational Thinking, Programming Principles, Computer Programming, Computer Science
中级 · 专项课程 · 3-6 个月

University of Colorado Boulder
您将获得的技能: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Data Science, Mathematical Modeling, Advanced Mathematics, Python Programming
攻读学位
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging
中级 · 专项课程 · 3-6 个月
Data Structure(数据结构)和 Algorithm(算法)是计算机科学中的基本概念,其重点在于高效地组织和处理数据。Data Structure 是指在计算机中存储和组织数据的方式,如数组、Linked List、堆栈和树。Algorithm 是解决问题的逐步程序或公式,通常涉及数据处理和操作。理解这些概念至关重要,因为它们构成了软件开发的支柱,使程序员能够编写出在各种条件下都能良好运行的高效代码。掌握 Data Structure 和 Algorithm 可以提高解决问题的能力,对于科技行业的技术面试至关重要。
扎实地了解 Data Structure 和 Algorithm 可以为您打开通往科技行业各种工作机会的大门。软件开发人员、数据分析师、系统架构师和 Machine Learning 工程师等职位往往需要了解这些概念。此外,数据科学和人工智能领域的职位也得益于扎实的算法基础,因为它们经常涉及数据操作和分析。雇主非常看重那些能够证明精通这些领域的求职者,因为这表明他们具有很强的解析能力和解决复杂问题的能力。
To effectively learn data structures and algorithms, you should focus on several key skills. First, a solid understanding of programming languages such as Python, Java, or C++ is essential, as these languages are commonly used to implement data structures and algorithms. Additionally, you should develop problem-solving skills, as many concepts involve logical reasoning and critical thinking. Familiarity with mathematical concepts, particularly discrete mathematics, can also be beneficial. Finally, practice is crucial; regularly solving coding challenges and participating in competitive programming can help reinforce your understanding and application of these concepts.
There are numerous online courses available to help you learn data structures and algorithms. Some highly recommended options include the Data Structures and Algorithms Specialization, which provides a comprehensive overview of the subject. For those interested in specific programming languages, the C++: Data Structures and Algorithms Specialization and the Java: Data Structures and Algorithms Specialization are excellent choices. These courses typically include hands-on projects and assessments to reinforce your learning.
是的,您可以通过两种方式免费开始在 Coursera 上学习 Data Structure 和 Algorithm:
如果您想继续学习,获得 Data Structure 和 Algorithm 证书,或在预览或试用后解锁全部课程 Accessibility,您可以升级或申请经济援助。
要想有效地学习 Data Structure 和算法,首先要选择一种自己熟悉的编程语言。从数组和 Linked List 等数据结构的基础知识开始,逐步学习树和图等更复杂的结构。利用在线资源,包括视频讲座和编码练习,练习实现这些结构。参与提供算法相关挑战的问题解决平台,因为这将有助于强化您的理解。通过项目或编码挑战定期练习和应用概念将巩固您的知识。
Data Structure 和算法课程涵盖的典型主题包括数组、Linked List、栈、Queue、树、图和 Hash 表。此外,您还将学习排序和Algorithm 搜索算法、递归、动态编程和复杂性分析。这些课程通常强调实际应用和解决问题的技巧,帮助您了解如何在现实世界中应用这些概念。
For training and upskilling employees, courses like the Data Structures and Algorithms Specialization are particularly beneficial. These courses provide a structured curriculum that can enhance the technical skills of your workforce. Additionally, specialized courses focusing on specific programming languages, such as the C++: Data Structures and Algorithms Specialization or the Java: Data Structures and Algorithms Specialization, can help employees gain expertise in the tools they use daily.