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Java Data Structures Courses Online

Study Java data structures for efficient programming. Learn about arrays, linked lists, stacks, queues, and their implementations in Java.

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Explore the Java Data Structures Course Catalog

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    783 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    546 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API

    4.5
    Rating, 4.5 out of 5 stars
    ·
    546 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Ciencia de datos​

    Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Statistical Machine Learning, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    540 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northeastern University

    Basic Programming in Python II

    Skills you'll gain: Web Applications, Object Oriented Programming (OOP), Application Development, Python Programming, Computer Programming, Programming Principles, Data Science, Data Analysis, Scripting, Data Structures, Debugging, Style Guides, Software Documentation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    170 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Statistical Machine Learning, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, No-Code Development, Statistical Programming, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Computer Programming, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    154 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Foundational Mathematics for AI: Johns Hopkins University
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Supervised Machine Learning: Regression: IBM
  • Deep Learning and Reinforcement Learning: IBM
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Ciencia de datos​: Universidad de los Andes
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Basic Programming in Python II: Northeastern University
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS

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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