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  • Data Structure Implementation

Results for "data structure implementation"


  • I

    IBM

    IBM Product Owner

    Skills you'll gain: AI Product Strategy, User Story, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Scrum (Software Development), Stakeholder Communications, Agile Methodology, Kanban Principles, Responsible AI, Generative AI, Product Roadmaps, Virtual Teams, Information Technology, Agile Project Management, Computer Hardware, ChatGPT, Stakeholder Management, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    197 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Predictive Modeling and Analytics

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Data Presentation, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Classification Algorithms, Microsoft Excel, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    605 reviews

    Intermediate · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Matlab, Algorithms, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Digital Signal Processing, Mathematical Software, Computer Programming, Histogram, Predictive Modeling, AI Personalization, Data Processing, Data Analysis, Programming Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • M

    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface (UI), Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Sales Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, Responsible AI, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Marketing Collateral

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of California, Davis

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    243 reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    685 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data structure implementation courses

  • IBM Product Owner: IBM
  • Google Cloud Database Engineer: Google Cloud
  • Machine Learning Capstone: IBM
  • Predictive Modeling and Analytics : University of Colorado Boulder
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Meta Android Developer: Meta
  • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Generative AI for Sales Professionals: IBM

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