编码课程
Code 课程可以帮助您学习 Python、Java 和 JavaScript 等编程语言，以及算法、数据结构和网络开发等概念。您可以掌握 Debugging、Version Control 和软件测试方面的技能，这些技能对于创建高效代码至关重要。许多课程会介绍用于版本控制的 Git 等工具、Visual Studio Code 等 Integrated Development Environment (IDE) 以及 React 或 Django 等框架，展示如何在实际项目中应用这些技能。
热门代码课程和认证
状态：新状态：预览SkillsBooster Academy
您将获得的技能: Prompt Engineering, Vibe coding, AI Workflows, Generative AI Agents, Generative AI, AI Personalization, Software Development Tools, GitHub, Application Development, Artificial Intelligence, Code Review, Responsible AI, Design Software, Web Development Tools, Front-End Web Development, Software Development, React.js, Javascript, Web Development, Software Engineering
状态：新状态：免费试用Pragmatic AI Labs
您将获得的技能: GitHub Copilot, AI Security, Code Review, Secure Coding, Anthropic Claude, Security Testing, LLM Application, OpenAI API, Generative AI, Large Language Modeling, Open Web Application Security Project (OWASP), Verification And Validation, AI Workflows, Generative AI Agents, Responsible AI, Vulnerability Scanning, AI Enablement, Model Evaluation, GitHub, Application Security
状态：新状态：免费试用您将获得的技能: Data Structures, Algorithms, Java Programming, Java, Computer Programming, Applied Mathematics, Geometry, Problem Solving
状态：新状态：免费试用您将获得的技能: Code Review, DevSecOps, Maintainability, Software Quality (SQA/SQC), Software Quality Assurance, Secure Coding, Application Security, Software Technical Review, Continuous Integration, Continuous Deployment, CI/CD, Vulnerability Scanning, Vulnerability Management, Analysis, Cyber Security Assessment, Security Strategy, Cyber Governance, Security Management, Cyber Security Strategy, Security Awareness
状态：免费试用University of Pennsylvania
您将获得的技能: 计算机编程, 单元测试, Java 编程, 应用程序开发, 数据结构, 调试, Java, 数据可视化, 面向对象编程（OOP）, 编程原则, Pandas（Python 软件包）, 日蚀（软件）, 文件输入/输出, 数据科学, 数据清理, 数据分析, 面向对象设计, Python 编程, 计算机编程工具, Matplotlib
状态：免费试用您将获得的技能: Extract, Transform, Load, Star Schema, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Microsoft Power Automate/Flow, Dashboard Creation, Dashboard, Microsoft Excel, Excel Formulas, Power BI, Data-Driven Decision-Making, Microsoft Copilot, Data Presentation, Spreadsheet Software, No-Code Development, Data Modeling, Data Visualization, Data Analysis, Business Intelligence
状态：新状态：免费试用您将获得的技能: Data Structures, Algorithms, Java, Java Programming, Programming Principles, Computer Programming, Performance Tuning, Computational Thinking, Theoretical Computer Science, Solution Design
状态：免费试用您将获得的技能: DevOps, Git（版本控制系统）, 版本控制, 开放源码技术, GitHub, 命令行界面, 协作软件, 软件版本控制
状态：免费试用Meta
您将获得的技能: 移动开发, 应用程序开发, React.js, 网络应用, 用户界面组件, 前端网络开发, 代码重用性, 事件驱动编程, 层叠样式表（CSS）, Javascript, JavaScript 框架, 数据流, 超文本标记语言（HTML）
状态：新状态：预览SkillsBooster Academy
您将获得的技能: Prompt Engineering, Prompt Engineering Tools, AI Workflows, Vibe coding, Generative AI Agents, Software Development Tools, Artificial Intelligence, Generative AI, AI Personalization, Google Workspace, Code Review, Software Development, Responsible AI, Application Deployment, Design Software, Front-End Web Development, Software Engineering, React.js, Web Development, Javascript
状态：免费试用Meta
您将获得的技能: 计算机编程, 单元测试, Django （网络框架）, 数据结构, 调试, 软件测试, 软件包和软件管理, 测试驱动开发（TDD）, 面向对象编程（OOP）, 开发环境, 功能设计, 编程原则, 云托管, Python 编程, 测试脚本开发, 计划发展
总之，以下是 10 最受欢迎的 coding 课程
- Mastering Сursor: From Setup to Real Projects: SkillsBooster Academy
- GitHub: Governing AI-Generated Code: Pragmatic AI Labs
- Advanced Data Structures and Problem-Solving Techniques: Packt
- Advanced Data Structures, Patterns, and Recursion Techniques: Packt
- Static Code Analysis with SonarQube and SonarLint: Edureka
- Python 和 Java 编程入门: University of Pennsylvania
- Microsoft Power BI and Power Platform for Productivity: Microsoft
- Foundations of Data Structures & Algorithms: Packt
- Git 和 GitHub 入门: IBM
- React 基础知识: Meta
