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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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    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    720 reviews

    Intermediate · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Cleveland Clinic

    Machine Learning in Healthcare: Foundations and Applications

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
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    196 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Columbia University

    First Principles of Computer Vision

    Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components

    4.7
    Rating, 4.7 out of 5 stars
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    235 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Universidad Nacional Autónoma de México

    Cognición encarnada

    Skills you'll gain: Artificial Intelligence, Social Sciences, Psychology, Human Learning, Human Development, Sociology, Theoretical Computer Science, Human Factors, Human Machine Interfaces, Research, Cognitive Behavioral Therapy, Scientific Methods, Science and Research, Robotics

    4.6
    Rating, 4.6 out of 5 stars
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    53 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Johns Hopkins University

    Computing for Cancer Informatics

    Skills you'll gain: Computer Systems, Informatics, Data Processing, Data Sharing, Computing Platforms, Bioinformatics, Data Storage, Computer Literacy, Computer Hardware, Big Data, Capacity Management, Data Centers, Computer Security Awareness Training, Cloud Computing, Oncology

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Regression Analysis, Machine Learning, Classification Algorithms, Python Programming

    2.9
    Rating, 2.9 out of 5 stars
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    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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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, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    11 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • TensorFlow 2 for Deep Learning: Imperial College London
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Machine Learning in Healthcare: Foundations and Applications: Cleveland Clinic
  • Customising your models with TensorFlow 2: Imperial College London
  • First Principles of Computer Vision: Columbia University
  • Cognición encarnada: Universidad Nacional Autónoma de México
  • Computing for Cancer Informatics: Johns Hopkins University
  • Neural Networks and Random Forests: LearnQuest
  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt

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