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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


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    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Keras (Neural Network Library), JSON, Applied Machine Learning, Javascript, Deep Learning, Data Processing, Real Time Data, Web Applications, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Multimodal Prompts, Linear Algebra

    Build toward a degree

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Machine Learning, Predictive Modeling, Data Science

    3.2
    Rating, 3.2 out of 5 stars
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    82 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning, NumPy

    4.8
    Rating, 4.8 out of 5 stars
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    435 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Time Series Analysis and Forecasting

    4.9
    Rating, 4.9 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Linear Algebra, Statistical Machine Learning, Mathematics and Mathematical Modeling, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, General Mathematics, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Python Programming, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    718 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    63K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Free Trial
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    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Customer Analysis, Predictive Modeling, Data Processing, Feature Engineering, Predictive Analytics, Exploratory Data Analysis, Data Cleansing, Software Installation

    Mixed · Course · 1 - 4 Weeks

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

  • Browser-based Models with TensorFlow.js: DeepLearning.AI
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • AI for Scientific Research: LearnQuest
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • Building and Training Neural Networks with PyTorch: Packt
  • Visual Perception: Columbia University
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • TensorFlow 2 for Deep Learning: Imperial College London

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