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  • Computational Neuroscience

Computational Neuroscience Courses

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.


Popular Computational Neuroscience Courses and Certifications


  • Status: Preview
    Preview
    U

    University of California, Irvine

    Emergent Phenomena in Science and Everyday Life

    Skills you'll gain: Systems Thinking, Analysis, General Science and Research, Materials science, Simulations, Biology, Mathematical Modeling, Physics, Psychology, Computational Logic, Mechanics, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    168 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Number Theory and Cryptography

    Skills you'll gain: Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    608 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Basic Modeling for Discrete Optimization

    Skills you'll gain: Mathematical Modeling, Problem Solving, Enterprise Modeling, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 2: Structured Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    788 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Deep Teaching Solutions

    Uncommon Sense Teaching

    Skills you'll gain: Instructional Strategies, Teaching, Education and Training, Learning Strategies, Pedagogy, Classroom Management, Lecturing, Learning Theory, Differentiated Instruction, Student Engagement, Human Learning, Stress First Aid, Time Management, Mental Concentration, Student-Centred Learning, Adaptability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    662 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Applied Cryptography

    Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Public Key Cryptography Standards (PKCS), Brute-force attacks, Key Management, Advanced Encryption Standard (AES), Encryption, Data Integrity, Information Systems Security, Cybersecurity, Authentications, Information Assurance, Data Security, Theoretical Computer Science, Computational Logic, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    910 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Equations & Inequalities

    Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Applied Mathematics, Graphing, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    637 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    351 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Strategic Leadership: Impact, Change, and Decision-Making

    Skills you'll gain: Decision Making, Creativity, Talent Management, Communication, Innovation, Strategic Decision-Making, Personal Development, Curiosity, People Development, Professional Networking, Collaboration, Leadership Development, Productivity, Time Management, Self-Awareness, Strategic Leadership, Business Leadership, Leadership, Emotional Intelligence, Organizational Leadership

    4.8
    Rating, 4.8 out of 5 stars
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    656 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Toronto

    Learn to Program: Crafting Quality Code

    Skills you'll gain: Data Structures, Test Automation, Object Oriented Programming (OOP), Unit Testing, Python Programming, Program Development, Algorithms, Test Case, Software Testing, Debugging, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    729 reviews

    Mixed · Course · 1 - 3 Months

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In summary, here are 10 of our most popular computational neuroscience courses

  • Emergent Phenomena in Science and Everyday Life: University of California, Irvine
  • Number Theory and Cryptography: University of California San Diego
  • Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
  • Computer Vision Basics: University at Buffalo
  • C for Everyone, Part 2: Structured Programming: University of California, Santa Cruz
  • Uncommon Sense Teaching: Deep Teaching Solutions
  • Applied Cryptography: University of Colorado System
  • Algebra: Elementary to Advanced - Equations & Inequalities: Johns Hopkins University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Materials Data Sciences and Informatics: Georgia Institute of Technology

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