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Microsoft
您将获得的技能: Debugging, Program Development, Software Documentation, Pseudocode, C++ (Programming Language), Computational Thinking, Maintainability, Programming Principles, Computer Programming, Integrated Development Environments, Development Environment, Algorithms, Data Validation
状态：免费试用Stanford University
您将获得的技能: 理论计算机科学, 计算思维, 生物信息学, 图论, 数据结构, Algorithm
状态：免费试用Duke University
您将获得的技能: C（编程语言）, 解决问题, 编程原则, 解决方案设计, 计算机编程, 软件工程, Algorithm
状态：免费试用University of Michigan
您将获得的技能: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Software Design, Computer Programming, Computational Thinking, File I/O, Data Structures, Animations
状态：免费试用University of Colorado Boulder
您将获得的技能: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Data Encryption Standard, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, Python Programming
状态：新您将获得的技能: C# (Programming Language), Object Oriented Programming (OOP), Web Scraping, Programming Principles, Microsoft Visual Studio, .NET Framework, Data Structures, Software Design Patterns, File I/O, Application Development, Computational Logic, Algorithms, Hypertext Markup Language (HTML), Unit Testing, Debugging
状态：预览Tecnológico de Monterrey
您将获得的技能: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Digital pedagogy, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Computational Thinking, Applied Mathematics, Derivatives
状态：免费试用University of California San Diego
您将获得的技能: 传染病, 分类算法, 无监督学习, 数据分析, 数据预处理, 生物信息学, 生物化学, 生物学, 降维, 统计分析, 马尔可夫模型, 生命科学, Python 程序设计, 微生物学, 生物技术, 应用机器学习, 数据挖掘, 网络分析, Algorithm, 分子生物学
状态：免费试用Icahn School of Medicine at Mount Sinai
您将获得的技能: 生物学, 数学建模, 模拟, 统计建模, 电气系统, Matlab, 生理学, 生物化学, 计算逻辑, 应用数学, 微分方程, 概率, 细胞生物学
状态：新状态：免费试用Niel Asher Education
您将获得的技能: Manual Therapy, Neurology, Rehabilitation, Physical Therapy, Pain Management, Exercise Therapy, Clinical Assessment, Anatomy, Respiration, Cognitive Behavioral Therapy, Patient Education And Counseling, Physiology, Athletic Training, Stress Management, Mental Health Therapies
状态：免费试用University of California San Diego
您将获得的技能: Java 编程, Java, 文件管理, 编程原则, 数据存储, C++（编程语言）, 计算机编程, 数据结构, Algorithm
状态：免费试用University of Colorado System
您将获得的技能: Google 云端平台, 数据操作, 临床研究, R 语言程序设计（中文版）, 数据建模, 临床数据管理, 自然语言处理, 生物信息学, 医疗隐私, 数据质量, 文本挖掘, 预测建模, 临床信息学, 摘录, Tidyverse（R 软件包）, 遵守《健康保险便携性和责任法案》（HIPAA）, 重症监护室, 数据伦理, 数据库设计, 信息学
总之，以下是 10 最受欢迎的 computational neuroscience 课程
- C++ Programming Fundamentals: Microsoft
- 贪婪算法、最小生成树和动态编程: Stanford University
- 编程基础知识: Duke University
- Python Fundamentals for Designers: University of Michigan
- Foundations of Data Structures and Algorithms: University of Colorado Boulder
- Learn C# by Building Applications: Packt
- Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey
- 生物信息学: University of California San Diego
- 系统生物学动态建模方法: Icahn School of Medicine at Mount Sinai
- Vagus Nerve Function & Therapeutic Applications: Niel Asher Education
