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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


  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management

    3.5
    Rating, 3.5 out of 5 stars
    ·
    246 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenerativeAI for Customer Success

    Skills you'll gain: Customer Success Management, Generative AI Agents, Customer Service, AI Enablement, Customer Support, Customer experience improvement, AI Personalization, Customer Engagement, Personalized Service, Data Ethics, Automation, Business Ethics, Information Privacy, Systems Integration

    4.3
    Rating, 4.3 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, IBM Cloud, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    301 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    ASQ-Certified Six Sigma Green Belt (CSSGB) Exam Prep

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Statistical Hypothesis Testing, Process Capability, Statistical Analysis, Data Analysis, Continuous Improvement Process, Project Management, Project Planning, Statistics, Work Breakdown Structure, Lean Six Sigma, Operational Excellence, Data Collection, Process Improvement, Stakeholder Management, Quality Improvement, Quality Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    56 reviews

    Intermediate · Specialization · 3 - 6 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: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Large Language Modeling, Hugging Face, PyTorch (Machine Learning Library), Embeddings, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    184 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
  • GenerativeAI for Customer Success: Coursera
  • Mastering NLP: Tokenization, Sentiment Analysis & Neural MT: Edureka
  • Practical Machine Learning on H2O: H2O.ai
  • Factorial and Fractional Factorial Designs: Arizona State University
  • Generative AI: Foundation Models and Platforms: IBM
  • ASQ-Certified Six Sigma Green Belt (CSSGB) Exam Prep: SkillUp
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • GenAI for Everyone: Coursera

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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