计算神经科学课程
计算神经科学课程可以帮助您学习神经建模、数据分析技术和大脑连接原理。您可以培养使用 Python 编程、统计分析以及使用机器学习算法来分析神经数据的技能。许多课程都会介绍 MATLAB 和 TensorFlow 等工具，这些工具支持模拟神经网络和分析大型数据集，使您能够在研究和实际应用中应用所学知识。
热门计算神经科学课程和认证
状态：新状态：免费试用您将获得的技能: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
状态：预览The University of Edinburgh
您将获得的技能: Software Engineering, Programming Principles, Software Development, Event-Driven Programming, Computer Programming, Software Documentation, Software Testing, Computational Thinking, Game Design, Animation and Game Design
状态：免费试用Johns Hopkins University
您将获得的技能: 数据结构, C 和 C++, 数字信号处理, 硬件架构, 可扩展性, 计算机图形学, 分布式计算, 事件驱动编程, 性能调整, Algorithm, 图像分析, 计划发展, 系统编程
状态：免费试用University of Colorado System
您将获得的技能: Cross-Functional Collaboration, Collaboration, Cooperation, Team Leadership, Team Management, Self-Awareness, Conflict Management, Leadership, Relationship Building, Empathy
您将获得的技能: Kotlin, Application Development, Software Documentation, Programming Principles, Data Validation, Computational Logic, Data Mapping
状态：免费试用Duke University
您将获得的技能: Python 程序设计, 软件开发, 调试, 数据分析, 解决问题, 数据处理, Algorithm
状态：预览University of Pennsylvania
您将获得的技能: 文化, 社会学, 图论, 社交网络分析, 解决复杂问题, 社会科学, 创新, 经济学, 网络分析, 模拟, 系统思考
状态：新状态：预览Universidad Nacional de Colombia
您将获得的技能: Computational Thinking, Computer Programming, Scripting, Data Import/Export, Logical Reasoning
状态：免费试用您将获得的技能: Object Oriented Programming (OOP), Software Documentation, Java Programming, Java, Computer Programming, Programming Principles, Computational Thinking, Computer Science
状态：免费试用您将获得的技能: Web Applications, Computational Logic, Software Development Tools, Business Logic, Other Programming Languages, Program Development, Scalability
状态：免费试用The Hong Kong University of Science and Technology
您将获得的技能: 应用数学, 模拟和模拟软件, 数学软件, 工程分析, 数学建模, 微积分, 微分方程, Matlab, 数值分析, 高等数学, 机械工程, 有限元方法
状态：预览École Polytechnique Fédérale de Lausanne
您将获得的技能: Field-Programmable Gate Array (FPGA), Computer Displays, Display Devices, Electronics, Electronic Systems, Electronics Engineering, Hardware Design, Semiconductors, Electronic Hardware, Electronic Components, Computational Logic, Embedded Systems, Power Electronics, Embedded Software, Programmable Logic Controllers, Basic Electrical Systems, Remote Access Systems, Control Systems, C (Programming Language), Animations
总之，以下是 10 最受欢迎的 computational neuroscience 课程
- Data Science Fundamentals Part 1: Unit 1: Pearson
- برمج بنفسك! مقدمة حول البرمجة: The University of Edinburgh
- 企业级 CUDA: Johns Hopkins University
- Fundamentals of Cross-Functional Collaboration: University of Colorado System
- Kotlin For Beginners: Data Types and Conditional Expressions: Coursera
- Python 编程基础: Duke University
- 社会行为的网络动力学: University of Pennsylvania
- Programación con Python, nivel intermedio: Universidad Nacional de Colombia
- Java Object Basics: Functions, Recursion, and Objects: Codio
- Solidity Mastery: Foundations to Advanced Smart Contracts: Packt
