信息学课程
信息学课程可帮助您理解算法、信息系统、数据和逻辑开发的主要概念。您可以培养逻辑分析、建模、架构和分析方面的能力。许多课程利用具体实例来说明基本原理。
通用信息课程和证书
LearnQuest
您将获得的技能: 查询语言, 计算机科学, 数据库管理, 算法, 计算机编程, 系统软件, 面向对象编程（OOP）, 统一建模语言, 文件输入/输出, 面向对象设计, Microsoft 开发工具, Visual Basic（编程语言）, 开发环境, 数据结构, 关系数据库, 编程原则, 数据库, 计算机硬件, 计算机结构, 网络安全
Clemson University
您将获得的技能: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning
Duke University
您将获得的技能: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis
Hebrew University of Jerusalem
您将获得的技能: 操作系统, 计算机科学, 计算机制图技术, 计算机编程, 算法, 系统编程, 面向对象编程（OOP）, 软件架构, 虚拟机, 计算机结构, 硬件架构, 数据结构
28DIGITAL
您将获得的技能: 算法, 图论, 技术文档, 模型评估, 嵌入式系统, 计算思维, 理论计算机科学, 性能测试, 系统分析, 数学建模
University of California San Diego
您将获得的技能: 图论, Java, 生物信息学, 拉斯特（编程语言）, 数据存储, 算法, 计划发展, 计算机编程, 开发测试, 计算思维, Javascript, 测试案例, 理论计算机科学, C 和 C++, 软件测试, Python 编程, 数据结构, 调试, 网络分析, 编程原则
Meta
您将获得的技能: 算法, 计算机科学, 计算思维, 交流, 理论计算机科学, 技术交流, 软件可视化, 编程原则, 伪代码, 数据结构
Vanderbilt University
您将获得的技能: 绘图（图形）, 计算机科学, 计算机编程, 解决问题, 开发环境, 用户界面（UI）, 工程计算, 数学软件, 文件输入/输出, 调试, 数据结构, 编程原则, Matlab
您将获得的技能: File I/O, C and C++, Data Import/Export, C++ (Programming Language), Object Oriented Programming (OOP), Data Validation, Object Oriented Design, Programming Principles, Computer Programming, Data Structures, File Management, Integrated Development Environments, Data Store, Software Documentation, Computer Science, Functional Design, Pseudocode, Maintainability
University of London
您将获得的技能: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives
您将获得的技能: Programming Principles, C++ (Programming Language), C and C++, Computer Programming, Integrated Development Environments, Pseudocode, Computer Science
您将获得的技能: Object Oriented Programming (OOP), Programming Principles, Computer Programming, Scripting Languages, Data Import/Export, Data Structures, Python Programming, Integrated Development Environments, Scripting, Data Persistence, Computational Logic, Computer Science, File Management
总之，以下是 10 最受欢迎的 computer science 课程
- Visual Basic 计算机编程入门: LearnQuest
- Applied Data Science: Clemson University
- Programming for Python Data Science: Principles to Practice: Duke University
- 从第一原理开始构建现代计算机：从 Nand 到俄罗斯方块第二部分（以项目为中心的课程）: Hebrew University of Jerusalem
- 定量形式建模和最坏情况性能分析: 28DIGITAL
- 数据结构和算法: University of California San Diego
- 编码面试准备: Meta
- MATLAB 程序设计入门: Vanderbilt University
- Programming in C++: A Hands-on Introduction: Codio
- Geometry and Calculus for Computing: University of London
