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  • Java Data Structures

Java Data Structures Courses

Java Data Structures courses can help you learn about arrays, linked lists, stacks, queues, and hash tables. You can build skills in algorithm efficiency, data manipulation, and implementing search and sort techniques. Many courses introduce tools like Eclipse or IntelliJ IDEA, which support coding practices and debugging, allowing you to apply your knowledge in real coding environments. You'll also explore concepts such as recursion and tree structures, enhancing your ability to tackle complex programming challenges.


Popular Java Data Structures Courses and Certifications


  • C

    Coursera

    Fine-Tuning and Evaluating Vision AI Models

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • S

    Stanford University

    Probabilistic Graphical Models

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing Models for Production

    Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Principles of fMRI 1

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Radiology, Research Design, Image Analysis, Experimentation, Neurology, Data Preprocessing, Science and Research, Statistical Analysis, Statistical Modeling, Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    850 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    779 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Jupyter, Command-Line Interface

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    347 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular java data structures courses

  • Fine-Tuning and Evaluating Vision AI Models: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Probabilistic Graphical Models: Stanford University
  • Applied Social Network Analysis in Python: University of Michigan
  • Optimizing Models for Production: Coursera
  • Principles of fMRI 1: Johns Hopkins University
  • Machine Learning Foundations for Product Managers: Duke University
  • Docker for AI/ML: Packt
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI

Skills you can learn in Algorithms

Graphs (22)
Mathematical Optimization (21)
Computer Program (20)
Data Structure (19)
Problem Solving (19)
Algebra (12)
Computer Vision (10)
Discrete Mathematics (10)
Graph Theory (10)
Image Processing (10)
Linear Algebra (10)
Reinforcement Learning (10)

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