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 Pennsylvania
您将获得的技能: 脚本, 集成开发环境, 编程原则, 计算思维, 数据结构, 计算机编程, Python 程序设计, 文件输入/输出, Jupyter, 软件开发工具, 脚本语言
状态：免费试用University of Glasgow
您将获得的技能: 数据可视化软件, Javascript, 数据建模, 无监督学习, 脚本, JSON, 数据分析, 机器学习, 计算思维, 数据科学, 软件开发, 数据处理, 计算机编程, 数据结构, Algorithm
状态：免费试用Johns Hopkins University
您将获得的技能: 计算机科学, 数据科学, 数据分析, 生物信息学, 生物学, 计算思维, 统计分析, 生物统计学, 软件工程, Algorithm, 统计, 分子生物学
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University of California San Diego
您将获得的技能: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Digital pedagogy, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Visualization (Computer Graphics)
状态：免费试用École Polytechnique Fédérale de Lausanne
您将获得的技能: Scala 编程, 功能设计, 单元测试, 面向对象编程（OOP）, 集成开发环境, 编程原则, 计算思维, 计算机编程, 数据结构, Algorithm
状态：免费试用University of California San Diego
您将获得的技能: 计算机科学, 调试, 教育软件和技术, 集思广益, 编程原则, 计算思维, 计算机编程, 数字教学法
状态：免费试用University of Colorado System
您将获得的技能: 理论计算机科学, 网络安全, 计算逻辑, 密码学, Encryption, 信息系统安全, 暴力攻击
您将获得的技能: Simulation and Simulation Software, Engineering Analysis, Engineering, Prototyping, Computer-Aided Design, Cloud Computing
状态：预览Peking University
您将获得的技能: Bioinformatics, Molecular Biology, Computational Thinking, Biology, Data Analysis Software, Machine Learning Algorithms, Data Processing
状态：免费试用Icahn School of Medicine at Mount Sinai
您将获得的技能: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Research, Mathematical Modeling, Molecular Biology, Pharmacology, Science and Research, Cell Biology, Biotechnology, Biomedical Technology, Scientific Methods, Physiology, Differential Equations, Computational Logic, Biochemistry, Network Analysis, Biology
状态：免费试用Johns Hopkins University
您将获得的技能: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
总之，以下是 10 最受欢迎的 computational neuroscience 课程
- Python 编程概论: University of Pennsylvania
- 使用 JavaScript 的计算思维 2：建模与分析: University of Glasgow
- 基因组技术简介: Johns Hopkins University
- Computational Thinking for K-12 Educators: Conditional Loops and If Statements: University of California San Diego
- Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
- Scala 函数式程序设计原理: École Polytechnique Fédérale de Lausanne
- K-12 教育工作者的计算思维：序列与循环: University of California San Diego
- 密码学和信息论: University of Colorado System
- Computational Fluid Mechanics - Airflow Around a Spoiler: Coursera
- Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
