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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.


Popular Data Structures And Algorithms Courses and Certifications


  • D

    Duke University

    Think Again I: How to Understand Arguments

    Skills you'll gain: Persuasive Communication, Research, Writing, Oral Expression

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Advancing Your Career in Computer Vision Engineering

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Convolutional Neural Networks, Engineering Software, Technical Writing, Transfer Learning, Professional Development, Machine Learning Methods, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Storytelling

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Preprocessing, Deep Learning, Artificial Neural Networks, Cloud Computing, Data Pipelines, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

  • U

    University of Virginia

    The Modern World, Part One: Global History from 1760 to 1910

    Skills you'll gain: European History, World History, International Relations, Social Sciences, Political Sciences, Economics, Socioeconomics, Cultural Diversity, Governance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Google Sheets, Machine Learning Software, Cloud Deployment, Model Evaluation, Predictive Modeling, Machine Learning, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI Techniques, Causal Inference & Business Optimization

    Skills you'll gain: Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Stakeholder Communications, Large Language Modeling, Real Time Data, AI Enablement, Information Privacy, Performance Testing, Personally Identifiable Information, Reinforcement Learning, Inventory Management System, Stakeholder Analysis

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Building LLM Powered Applications

    Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, AI Orchestration, Embeddings, Python Programming, Vector Databases, Machine Learning, Data Science

    Beginner · Course · 3 - 6 Months

  • J

    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    457 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Query Spatial with PostGIS

    Skills you'll gain: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, PostgreSQL, Database Development, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Networking in Google Cloud: Defining and Implementing Networks 日本語版

    Skills you'll gain: Load Balancing, Virtual Networking, Google Cloud Platform, Network Architecture, General Networking, Identity and Access Management, Network Security, Virtual Machines, Data Sharing

    Intermediate · Course · 1 - 3 Months

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

  • Think Again I: How to Understand Arguments: Duke University
  • Advancing Your Career in Computer Vision Engineering: Coursera
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • The Modern World, Part One: Global History from 1760 to 1910: University of Virginia
  • AutoML: Build ML Models without Code: Edureka
  • AI Techniques, Causal Inference & Business Optimization: Coursera
  • Building LLM Powered Applications: Packt
  • Reproducible Research: Johns Hopkins University
  • Process Images & Extract Motion Features: Coursera
  • Supervised Machine Learning: Classification: 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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