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  • Data Structures And Algorithms

Data Structures And Algorithms Courses

Data Structures and Algorithms courses can help you learn about arrays, linked lists, trees, and graph structures, along with sorting and searching algorithms. You can build skills in problem-solving, optimizing code efficiency, and analyzing algorithm complexity. Many courses introduce tools like Python, Java, or C++ for implementing these concepts, as well as platforms for coding challenges that reinforce your understanding through practical application.


More to explore:

Popular Data Structures And Algorithms Courses and Certifications


  • C

    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    826 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    Universitat Politècnica de València

    Bases Matemáticas: Números y terminología

    Skills you'll gain: Arithmetic, Mathematics and Mathematical Modeling, Mathematical Modeling, Logical Reasoning, Algebra, General Mathematics, Deductive Reasoning, Concept Of Operations

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Georgia Institute of Technology

    Introduction to Electronics

    Skills you'll gain: Electronic Components, Semiconductors, Electronics, Electrical Engineering, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Mixed · Course · 1 - 3 Months

  • U

    Universitat Politècnica de València

    Physics Fundamentals: Mechanics

    Skills you'll gain: Mechanics, Physics, Systems Of Measurement, Torque (Physics), Differential Equations, Calculus, Engineering Calculations, Engineering Analysis, Trigonometry, Applied Mathematics, Derivatives

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    608 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Bestseller
    Bestseller
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Software Design, Flask (Web Framework), Version Control, File Management, Linux, Software Development Methodologies, Software Design Patterns, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Georgia Institute of Technology

    Machine Design Part I

    Skills you'll gain: Failure Analysis, Mechanical Design, Structural Analysis, Materials science, Engineering Analysis, Engineering Design Process, Mechanics, Biomedical Engineering, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of the Arts London

    Fashion Values: Society

    Skills you'll gain: Social Justice, Design Thinking, Social Impact, Sustainable Design, Social Studies, Advocacy, Creative Thinking, Case Studies, Sustainable Development, Design, Systems Thinking, Sociology, Ideation, Empathy, Corporate Sustainability, Sustainability Standards, Problem Solving, Research, Prototyping, Collaboration

    Beginner · Course · 1 - 4 Weeks

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

  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Bases Matemáticas: Números y terminología: Universitat Politècnica de València
  • Sports Performance Analytics: University of Michigan
  • Introduction to Electronics: Georgia Institute of Technology
  • Physics Fundamentals: Mechanics: Universitat Politècnica de València
  • Bayesian Statistics: Duke University
  • Inferential Statistics: University of Amsterdam
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Applied Software Engineering Fundamentals: IBM

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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