科学计算课程
科学计算课程可以帮助您学习数值方法、数据分析、算法开发和模拟技术。您可以掌握 Python 和 R 等编程语言以及数学建模和统计分析的技能。许多课程都会介绍 MATLAB、NumPy 和 SciPy 等工具，这些工具支持有效地实施算法和处理大型数据集。
热门科学计算课程和认证
状态：预览University of Colorado Boulder
您将获得的技能: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
状态：免费试用Johns Hopkins University
您将获得的技能: 卷积神经网络, 深度学习, 事件驱动编程, 计算机图形学, C 和 C++, 计划发展, 人工神经网络, 编程原则, 计算机结构, 分布式计算, 系统编程, 可扩展性, 机器学习, 性能调整, 数值分析, 数学软件, 面向数据的编程, 图像分析, 操作系统流程管理, 线性代数
状态：新状态：免费试用University of London
您将获得的技能: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Computer Science, Critical Thinking, Computational Thinking, Business Logic, Algorithms, Mathematical Modeling, Problem Solving, Strategic Communication
状态：免费Princeton University
您将获得的技能: 数据结构, Algorithm, Java 编程, 计划发展, 调试, 编程原则, 面向对象编程（OOP）, 文件输入/输出, 计算机科学, 动画, Java, 性能调整, 计算思维, 计算机编程
状态：免费试用University of Colorado Boulder
您将获得的技能: 脚本, 命令行界面, 编程原则, 文件系统, 操作系统, 计算机系统, Linux, 分布式计算, 性能调整, 大数据, 可扩展性, Bash（脚本语言）
状态：新状态：免费试用University of London
您将获得的技能: Computational Logic, Algorithms, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Statistics, General Mathematics, Analysis, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Arithmetic, Problem Solving
是什么让您今天来到 Coursera？
状态：预览University of California, Santa Cruz
您将获得的技能: Scientific Visualization, Data Literacy, Data Visualization Software, Animations, Data Presentation, Video Editing, Data Storytelling, Adobe After Effects, Graphics Software, Visualization (Computer Graphics), Storyboarding, Adobe Premiere, Peer Review, Motion Graphics, Autodesk Maya, Post-Production, Computer Graphic Techniques, Technical Communication, Style Guides, Professional Development
状态：预览École Polytechnique
您将获得的技能: 编辑, 道德标准与行为, 期刊, 研究, 科学方法, 研究设计, 校对, 数据管理, Data Management, 研究方法, 同行评审
状态：预览Ludwig-Maximilians-Universität München (LMU)
您将获得的技能: Python 程序设计, 应用数学, 机械, 有限元方法, 微分方程, 模拟, 工程分析, 数学建模, Jupyter, 分布式计算, 振动, 工程计算, 数值分析
状态：新状态：免费试用University of London
您将获得的技能: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistics, Analysis, Statistical Analysis, Probability, Algorithms, Algebra
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
状态：新状态：免费试用University of London
您将获得的技能: Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving
总之，以下是 10 最受欢迎的 scientific computing 课程
- Introduction to Python for Scientific Computing: University of Colorado Boulder
- GPU 编程: Johns Hopkins University
- Logic and Reasoning for Computing: University of London
- 计算机科学有目的的编程: Princeton University
- 高性能和并行计算简介: University of Colorado Boulder
- Essential Mathematics for Computer Science: University of London
- Data-Driven Animation for Science Communication: University of California, Santa Cruz
- 如何撰写和发表科学论文（以项目为中心的课程）: École Polytechnique
- 计算机、波浪、模拟：使用 Python 的数值方法实用入门: Ludwig-Maximilians-Universität München (LMU)
- Applied Mathematical Methods for Computing: University of London
