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Northeastern University
您将获得的技能: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability
状态：免费试用École Polytechnique Fédérale de Lausanne
您将获得的技能: Scala 编程, 数据操作, Apache Spark, 数据处理, 大数据, 交互式数据可视化, 用户界面（UI）, 热图, 空间数据分析, 地理空间信息与技术, 数据转换, 实时数据, 地理空间制图, 可视化（计算机制图）
状态：免费试用Dartmouth College
您将获得的技能: 计算机编程, 调试, 计算机科学, 嵌入式软件, Linux, 计算机结构, 计算机工程, 计划发展, 数据结构, C（编程语言）
状态：新您将获得的技能: Full-Stack Web Development, Flask (Web Framework), Web Applications, Real Time Data, Web Development, Restful API, Application Development, Application Programming Interface (API), Back-End Web Development, Python Programming
状态：新您将获得的技能: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection
状态：免费试用University of California San Diego
您将获得的技能: 推动参与, 数字通信, 社会影响, 协作软件, 社交网络分析, 远程办公, 计算平台, 交互设计, 远程访问ibility 系统
Google Cloud
您将获得的技能: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management
Politecnico di Milano
您将获得的技能: 开发环境, 计算机编程, 系统设计与实施, 云计算架构, 生物信息学, 计算机结构, 云应用, 云计算, 硬件架构, 性能调整, 亚马逊弹性计算云 Computing, Algorithm
您将获得的技能: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Jupyter, System Configuration, Cloud Applications
状态：免费试用Dartmouth College
您将获得的技能: 计算机编程, 调试, 嵌入式软件, 嵌入式系统, 系统编程, 编程原则, 计算机工程, 数据结构, 计算机编程工具, Algorithm, C（编程语言）
状态：新状态：免费试用您将获得的技能: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra
状态：新状态：预览Northeastern University
您将获得的技能: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
与 scientific computing 相关的搜索
总之，以下是 10 最受欢迎的 scientific computing 课程
- Data Structures & Algos: Software Development Skills: Northeastern University
- Scala 中的函数式编程 Capstone: École Polytechnique Fédérale de Lausanne
- C 语言编程：模块化编程和内存管理 - 3: Dartmouth College
- Skill Up with Python: Web Development Recipes: Pearson
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
- 社会计算: University of California San Diego
- Distributed Image Processing in Cloud Dataproc: Google Cloud
- 使用 SDAccel 开发 FPGA 加速云应用：实践: Politecnico di Milano
- Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
- C 语言编程：高级数据类型 - 5: Dartmouth College
