编程课程可以帮助您学习 Python、Java 和 JavaScript 等编码语言,以及算法、数据结构和软件开发方法等概念。您可以培养调试、版本控制和编写高效代码的技能。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 等支持开发网络应用程序和软件解决方案的框架。
University of Michigan
您将获得的技能: Python 程序设计, 计算机编程, 计算思维, 软件安装, 开发环境, 编程原则
初级 · 课程 · 1-3 个月

The University of Edinburgh
您将获得的技能: 软件设计, 动画和游戏设计, 计算机编程, 计算思维, Algorithm, 软件工程, 编程原则, 软件开发, 事件驱动编程, 调试
初级 · 课程 · 1-3 个月

Princeton University
您将获得的技能: Java 编程, 模拟, 计算机科学, 面向对象编程(OOP), 数据结构, 计算机编程, Java, 动画, 计算思维, 性能调整, Algorithm, 编程原则, 调试
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 系统编程, 软件设计, 模拟, 可维护性, 计算机编程, 数据结构, 计划发展, C(编程语言), 用户界面(UI), 开发环境, 命令行界面, 解决问题, 软件测试, Algorithm, 操作系统, 伪代码, 软件工程, 编程原则, 调试, 软件开发
初级 · 专项课程 · 3-6 个月

Meta
您将获得的技能: 集成开发环境, 单元测试, 面向对象编程(OOP), 数据结构, 计算机编程, Python 程序设计, 测试驱动开发(TDD), Algorithm, 云托管, Django (网络框架), 软件测试, 开发环境, 调试
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: C(编程语言), 计算机编程, 解决问题, Algorithm, 编程原则
初级 · 课程 · 1-4 周

Meta
您将获得的技能: JSON, 功能设计, 单元测试, 数据结构, Node.JS, 计算机编程, 前端网络开发, 面向对象编程(OOP), Javascript, 计划发展, 脚本, 网络开发工具, 脚本语言, Jest(JavaScript 测试框架), 事件驱动编程, 网络应用, 调试, 软件包和软件管理
初级 · 课程 · 1-3 个月
Duke University
您将获得的技能: Java 编程, 数据操作, 统计分析, 数据分析, 层叠样式表(CSS), 软件设计, 集成开发环境, 数据导入/导出, 计算机编程, Javascript, 预测建模, 数据处理, Encryption, 网络服务器, Algorithm, 软件工程, 网络应用, 事件驱动编程, 图像分析, 调试
初级 · 专项课程 · 3-6 个月

您将获得的技能: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Package and Software Management
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 数据管道, 大型语言模型, 无服务器计算, 自然语言处理, 生成式人工智能, 拉斯特(编程语言), 可维护性, CI/CD, 计算机编程, 还原式 API, 云计算, Devops, 开发测试, 集装箱化, Docker (软件), 软件测试, 亚马逊网络服务, 詹金斯, 命令行界面, 普罗米修斯(软件)
初级 · 专项课程 · 3-6 个月

University of Michigan
您将获得的技能: JSON, 数据操作, 文件管理, 软件设计, 统一模型语言, 数据导入/导出, 单元测试, 数据结构, Python 程序设计, 面向对象编程(OOP), 还原式 API, 计算机编程, 数据处理, Jupyter, 面向对象设计, 软件工程, 编程原则, 网页抓取, 调试, 图像分析
初级 · 专项课程 · 3-6 个月

您将获得的技能: C and C++, C++ (Programming Language), Debugging, API Design, Program Development, Software Documentation, Pseudocode, Software Architecture, Software Design, Maintainability, Computational Thinking, Data Structures, Programming Principles, Computer Programming, Generative AI, Software Development, System Programming, Object Oriented Programming (OOP), Code Review, Integrated Development Environments
初级 · 专业证书 · 3-6 个月
Programming is the process of creating a set of instructions that a computer can follow to perform specific tasks. It is a fundamental skill in today's digital world, enabling the development of software applications, websites, and systems that drive innovation and efficiency across various industries. Understanding programming is essential not only for those looking to enter tech-related fields but also for anyone interested in enhancing their problem-solving skills and logical thinking.
A variety of job opportunities exist in the programming field, ranging from software developers and web developers to data analysts and systems engineers. Positions such as mobile app developers, game developers, and database administrators also fall under the programming umbrella. The demand for skilled programmers continues to grow, making it a promising career path for those equipped with the right skills.
To succeed in programming, you should develop a solid foundation in several key skills. These include understanding programming languages such as Python, Java, or C++, as well as concepts like algorithms, data structures, and software development methodologies. Familiarity with version control systems, debugging techniques, and problem-solving strategies is also crucial. Building a portfolio of projects can further enhance your employability.
There are many excellent online programming courses available that cater to different skill levels and interests. For beginners, courses like the C Programming for Everybody Specialization provide a comprehensive introduction. More advanced learners might consider the C, Go, and C++: A Comprehensive Introduction to Programming Specialization to deepen their knowledge.
Yes. You can start learning programming on Coursera for free in two ways:
If you want to keep learning, earn a certificate in programming, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
Learning programming can be approached through various methods. Start by selecting a programming language that interests you and find online resources or courses that suit your learning style. Practice coding regularly, work on small projects, and engage with online communities for support. Utilizing platforms like Coursera can provide structured learning paths and access to expert instructors.
Programming courses typically cover a range of topics, including syntax and semantics of programming languages, control structures, data types, functions, and object-oriented programming. Advanced courses may explore algorithms, software design principles, and application development. Hands-on projects are often included to reinforce learning and provide practical experience.
For training and upskilling employees, courses like the Microsoft R Programming for Everyone Professional Certificate can be particularly beneficial. These programs are designed to enhance programming skills relevant to industry needs, ensuring that employees are equipped with the latest knowledge and techniques.