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：免费试用University of California San Diego
您将获得的技能: Debugging, Computer Programming Tools, Digital pedagogy, Education Software and Technology, Computational Thinking, Programming Principles, Computer Programming, Computer Science, Game Design
状态：免费试用Duke University
您将获得的技能: Javascript, 调试, Html 和 Css, 网页设计, 网络开发, 编程原则, 计算思维, 用户界面（UI）, 计算机编程, 事件驱动编程, 图像分析, 层叠样式表（CSS）, 互动设计, Algorithm
状态：免费试用Johns Hopkins University
您将获得的技能: Research, Research Design, Consumer Behaviour, Influencing, Persuasive Communication, Ethical Standards And Conduct, Marketing Psychology, Behavioral Economics, Biomedical Technology, Experimentation, Neurology, Marketing, Data Analysis, Statistical Analysis
状态：免费试用Icahn School of Medicine at Mount Sinai
您将获得的技能: Linux 命令, 无监督学习, 生物信息学, 生物学, 统计方法, 系统工程, 数据处理, Unix 命令, 机器学习算法, 生物统计学
状态：免费试用University of California San Diego
您将获得的技能: 调试, 教育软件和技术, 编程原则, 计算思维, 集思广益, 数字教学法, 计算机编程, Algorithm
状态：免费试用University of California San Diego
您将获得的技能: Debugging, Program Development, Programming Principles, Computational Thinking, Diversity Equity and Inclusion Initiatives, Digital pedagogy, Computer Programming, Computer Science
状态：免费试用Rice University
您将获得的技能: 理论计算机科学, 数据分析, 编程原则, 计算思维, 分析, Python 程序设计, 计算机编程, 计划发展, 数据结构, 图论, 网络分析, Algorithm
状态：免费试用Johns Hopkins University
您将获得的技能: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
状态：免费试用University of Colorado System
您将获得的技能: 描述性统计, 数据可视化软件, 数据分析, 编程原则, 计算思维, C（编程语言）, 统计分析, 数据结构
状态：免费试用University of Colorado System
您将获得的技能: 数据操作, 患者评估, 模型评估, 数据科学, 分类算法, 临床数据管理, 健康信息学, 生物信息学, 分析, 临床信息学, Data Validation, 性能测试, 机器学习算法, 数据处理, 信息学
状态：免费试用您将获得的技能: Organizational Change, Change Management, Organizational Development, Organizational Leadership, Business Leadership, Organizational Structure, Leadership Development, Case Studies, Industrial and Organizational Psychology, Human Relations Movement, Adaptability, Dealing With Ambiguity, Lifelong Learning, Neurology
状态：免费试用University of California San Diego
您将获得的技能: 理论计算机科学, 软件测试, 调试, 编程原则, 计算思维, 开发测试, 测试案例, 计算机编程, 数据结构, 计划发展, 设计策略, Algorithm
总之，以下是 10 最受欢迎的 computational neuroscience 课程
- Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals : University of California San Diego
- JavaScript、HTML 和 CSS 编程基础知识: Duke University
- Practical Neuromarketing Research: Johns Hopkins University
- 系统生物学中的网络分析: Icahn School of Medicine at Mount Sinai
- K-12 教育工作者的计算思维：变量和嵌套循环: University of California San Diego
- Computational Thinking for K-12 Educators: Conditional Loops and If Statements: University of California San Diego
- 算法思维（第一部分）: Rice University
- Mastering Neural Networks and Model Regularization: Johns Hopkins University
- 数据分析与表示、选择与迭代: University of Colorado System
- 确定患者人群: University of Colorado System
