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。

您将获得的技能: Bash (Scripting Language), Python Programming, Unix Shell, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment, Data Structures
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Musical Composition, Music, Computer Programming, Program Development, Programming Principles, Python Programming
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Event-Driven Programming, Debugging, Programming Principles, Algorithms, Video Game Development, Computer Programming Tools, Game Design, Computer Programming, Program Development, Animation and Game Design, Interactive Design, Integrated Development Environments, Computer Science
初级 · 指导项目 · 不超过 2 小时

Duke University
您将获得的技能: Object Oriented Programming (OOP), Programming Principles, Python Programming, Computer Programming, Software Engineering, Simulations
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Microsoft Visual Studio, C# (Programming Language), Integrated Development Environments, Programming Principles, Computer Programming, Command-Line Interface, Computational Logic
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning
高级设置 · 指导项目 · 不超过 2 小时

Coursera
您将获得的技能: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision
中级 · 指导项目 · 不超过 2 小时

Coursera
您将获得的技能: TypeScript, Programming Principles, Web Development Tools, Javascript, Web Language
初级 · 指导项目 · 不超过 2 小时

您将获得的技能: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
中级 · 指导项目 · 不超过 2 小时
编程是创建一组指令的过程,计算机可以按照这些指令执行特定任务。它是当今数字世界的一项基本技能,能够开发软件应用程序、网站和系统,推动各行各业的创新和效率。了解编程不仅对那些希望进入技术相关领域的人来说至关重要,而且对任何有兴趣提高自己解决问题的能力和逻辑思维能力的人来说也是如此。
编程领域的工作机会多种多样,从软件开发人员和网络开发人员到数据分析师和系统工程师,不一而足。移动应用程序开发人员、游戏开发人员和数据库管理员等职位也属于编程范畴。对技术娴熟的程序员的需求持续增长,对于掌握正确技能的人来说,这是一条大有可为的职业道路。
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.
是的,您可以通过两种方式在 Coursera 上免费开始学习编程:
如果您想继续学习、获得编程证书或在预览或试用后解锁全部课程访问权限,可以升级或申请经济援助。
学习编程有多种方法。首先,选择一种你感兴趣的编程语言,然后寻找适合你学习风格的在线资源或课程。定期进行编码练习,开展小项目,并参与在线社区以获得支持。利用 Coursera 等平台可以提供结构化的学习路径,并能接触到专家讲师。
对于培训和提高员工技能而言,Microsoft R Programming for Everyone 专业证书等课程尤其有益。这些课程旨在提高与行业需求相关的编程技能,确保员工掌握最新的知识和技术。