Computational neuroscience courses can help you learn neural modeling, data analysis techniques, and the principles of brain connectivity. You can build skills in programming with Python, statistical analysis, and using machine learning algorithms to interpret neural data. Many courses introduce tools like MATLAB and TensorFlow, that support simulating neural networks and analyzing large datasets, enabling you to apply your knowledge in both research and practical applications.

University of Colorado System
Skills you'll gain: Data Manipulation, Bioinformatics, Informatics, Data Processing, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Classification Algorithms, Analytics, Patient Evaluation, Model Evaluation, Machine Learning Algorithms, Data Validation, Performance Testing
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Application Deployment, Application Development, Code Review, Software Development, Prototyping, Web Applications, JavaScript Frameworks, Software Engineering, Javascript, Computational Thinking, Version Control, Programming Principles, Program Management
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Diversity and Inclusion, Innovation, Organizational Leadership, Industrial and Organizational Psychology, Business Leadership, Organizational Change, Creativity, Cultural Diversity, Human Capital, Leadership, Drive Engagement, Team Performance Management, Change Management, Business, Business Strategy, Decision Making, Neurology
Build toward a degree
Beginner · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: 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
Intermediate · Course · 1 - 3 Months
University of Glasgow
Skills you'll gain: Computational Thinking, Javascript, Programming Principles, Computer Programming, Computer Graphics, Animations, Debugging, Scripting Languages
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Computational Thinking, Education Software and Technology, Digital pedagogy, Programming Principles, Debugging, Computer Programming, Computer Science, Brainstorming
Beginner · Course · 1 - 3 Months
University of Glasgow
Skills you'll gain: Javascript, HTML and CSS, Web Development, Web Applications, Front-End Web Development, Event-Driven Programming, Computational Thinking, Software Testing, Application Development, Software Development, Software Development Tools, Computer Programming Tools, Development Environment, Programming Principles, Computer Graphics, Animations
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Organizational Change, Change Management, Business Transformation, Organizational Development, Organizational Leadership, Business Leadership, Organizational Structure, Leadership Development, Case Studies, Industrial and Organizational Psychology, Human Relations Movement, Adaptability, Lifelong Learning, Neurology
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Algorithms, Programming Principles, Computational Thinking, Program Development, Code Review, Software Documentation, Debugging, Technical Communication
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: 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
Intermediate · Course · 1 - 4 Weeks