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：预览Universidade Estadual de Campinas
您将获得的技能: Education Software and Technology, Digital pedagogy, Artificial Intelligence, Computer Programming, Robotics, Computational Thinking, Prototyping, 3D Assets, Electronics
状态：免费试用您将获得的技能: Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Performance Tuning
状态：免费试用LearnQuest
您将获得的技能: Python 程序设计, 数据结构, 面向对象编程（OOP）, 软件设计模式, 模型-视图-控制器, 计算思维, 编程原则, 计算机编程, 软件架构, 面向对象设计, Algorithm
状态：免费试用University of Michigan
您将获得的技能: Creative Design, Data Structures, Programming Principles, Software Visualization, Python Programming, Computer Programming, Predictive Modeling, Algorithms, Computational Thinking, Debugging
状态：免费试用Scrimba
您将获得的技能: Ajax, Object Oriented Programming (OOP), Javascript, JSON, Application Programming Interface (API), Scripting, Software Design Patterns, Data Management, Data Structures, Event-Driven Programming, Data Validation, Prototyping, Computational Logic, Maintainability, Programming Principles, Web Development, Software Development, Debugging, Software Engineering, Performance Tuning
28DIGITAL
您将获得的技能: 数据结构, 图论, 模型评估, 计算逻辑, 理论计算机科学, 验证和确认, 系统分析, Algorithm
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：免费试用Deep Teaching Solutions
您将获得的技能: Critical Thinking, Curiosity, Deductive Reasoning, Independent Thinking, Open Mindset, Complex Problem Solving, Lifelong Learning, Growth Mindedness, Willingness To Learn, Systems Thinking, Cognitive flexibility, Decision Making, Social Sciences, Behavioral Economics, Scientific Methods
状态：免费试用Johns Hopkins University
您将获得的技能: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations
状态：免费试用您将获得的技能: Javascript, Scripting, Event-Driven Programming, Computational Logic, Maintainability, Object Oriented Programming (OOP), Programming Principles, Debugging, Web Development
状态：免费试用University of Colorado Boulder
您将获得的技能: Data Structures, Data Dictionary, Python Programming, Programming Principles, Data Manipulation, Data Access, Data Processing, Computational Logic, Scripting, File I/O, Debugging, Computational Thinking, Jupyter, Maintainability, Computer Programming Tools, Scripting Languages
您将获得的技能: Kotlin, Application Development, Software Documentation, Programming Principles, Data Validation, Computational Logic, Data Mapping
总之，以下是 10 最受欢迎的 computational neuroscience 课程
- Escola 4.0 Educação e Cultura Maker no Contexto da Nova BNCC: Universidade Estadual de Campinas
- Advanced Data Structures and Algorithms: Packt
- 应用程序编程基础: LearnQuest
- Big Ideas in Programming: Expressing Yourself with Python: University of Michigan
- Advanced JavaScript: Scrimba
- 自动推理：符号模型检查: 28DIGITAL
- Data Science Fundamentals Part 1: Unit 1: Pearson
- Rethinking Logic: Surprising Science of Critical Thinking: Deep Teaching Solutions
- Foundations of Probability and Random Variables: Johns Hopkins University
- Advanced JavaScript 1: Objects, Loops, Hoisting: Scrimba
