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    • Data Structures And Algorithms

    Data Structures and Algorithms Courses

    Data structures and algorithms courses can help you learn how to organize data and solve problems efficiently—core skills for programming, software development, and technical interviews.

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    Find the Best Data Structures And Algorithms Course for Your Goals

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Legal Risk Mitigation: Proactive Case Analysis

      Skills you'll gain: Prompt Engineering, Risk Management Framework, Legal Risk, Risk Control, Risk Mitigation, Generative AI, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Artificial Intelligence, Ethical Standards And Conduct, Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Art of the MOOC: Art, Culture, and Society

      Skills you'll gain: Color Theory, World Music, Disabilities, Art History, Diversity Awareness, Culture, Music History, Social Justice, Performing Arts, Music, Community Organizing, Liberal Arts, Peer Review, Musical Composition, Cultural Diversity, Music Theory, Pedagogy, International Relations, Social Sciences, Advocacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      323 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compliance Officers: Streamline Regulatory Reports

      Skills you'll gain: Compliance Reporting, Prompt Engineering, Compliance Management, Microsoft Copilot, Generative AI, Regulatory Compliance, Workflow Management, Business Process Automation, Data Validation, Operational Efficiency, Artificial Intelligence, Verification And Validation, Automation

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Operational Excellence, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Business Process Management, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      LLM Engineering with RAG: Optimizing AI Solutions

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, Scalability, Generative AI, Data Integration, Artificial Intelligence, Performance Tuning, Application Development, Application Programming Interface (API)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Healthcare Data Quality and Governance

      Skills you'll gain: Data Governance, Data Quality, Data Validation, Data Management, Data Cleansing, Health Information Management, Metadata Management, Health Informatics, Technical Communication, Change Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      130 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Statistical Machine Learning, Unsupervised Learning, Python Programming, Bayesian Statistics, NumPy, Supervised Learning, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • E

      Eindhoven University of Technology

      RF and millimeter-Wave Circuit Design

      Skills you'll gain: Electronics Engineering, Electronics, Telecommunications, Electronic Systems, Electronic Components, Hardware Design, Electrical Engineering, Wireless Networks, Electronic Hardware, Systems Design, Simulation and Simulation Software, Simulations, Laboratory Experience

      4.7
      Rating, 4.7 out of 5 stars
      ·
      232 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Introduction Course to Autoencoders, VAEs, and GANs

      Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Image Analysis, Applied Machine Learning, Computer Vision, Artificial Neural Networks, Unsupervised Learning

      Beginner · Course · 1 - 4 Weeks

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

    • GenAI for Legal Risk Mitigation: Proactive Case Analysis: Coursera Instructor Network
    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Art of the MOOC: Art, Culture, and Society: Duke University
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • GenAI for Compliance Officers: Streamline Regulatory Reports: Coursera Instructor Network
    • How Things Work: An Introduction to Physics: University of Virginia
    • Six Sigma Green Belt: Kennesaw State University
    • LLM Engineering with RAG: Optimizing AI Solutions: Coursera Instructor Network
    • Healthcare Data Quality and Governance: University of California, Davis
    • Natural Language Processing - Probability Models in Python: Packt

    Why Learn Data Structures and Algorithms?

    Data structures and algorithms form the foundation of computer science, enabling efficient data management and problem-solving. They are essential for writing optimized code, building scalable applications, and succeeding in coding interviews. Learning data structures and algorithms can sharpen your analytical thinking and strengthen your programming skills across languages and platforms.

    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)

    Frequently Asked Questions about Data Structures And Algorithms

    Top options include the Data Structures and Algorithm Specialization from the University of California, San Diego, and the Algorithms from Princeton University. These programs cover essential topics like linked lists, trees, sorting, dynamic programming, and algorithmic complexity.‎

    Yes. Many data structures and algorithms courses offer a free audit option, letting learners access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to store and organize data efficiently using data structures like arrays, stacks, queues, and graphs, and how to solve problems using algorithms for searching, sorting, and graph traversal. Many courses also include practice coding exercises and real-world applications.‎

    Some experience with programming is helpful, as these courses typically include coding exercises in languages like Python, Java, or C++. Beginner-level courses often review coding basics before diving into more complex structures and techniques.‎

    Yes. These concepts are critical for software engineering, web development, data science, and technical interviews. Coursera courses can help you master key techniques, build a portfolio of coding solutions, and earn certificates that demonstrate your technical knowledge to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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