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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: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      120 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      B

      Berklee

      Electronic Music Production

      Skills you'll gain: Musical Composition, File Management, Music Performance, Music, Media Production, Music Theory, Instrumental Music, Performing Arts, Creativity, Peer Review, Automation, Electronic Media, Design Software, Editing, Patch Management, Software Installation, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Physics 101 - Forces and Kinematics

      Skills you'll gain: Mechanics, Physics, Engineering Calculations, Mathematical Modeling, Algebra, Physical Science, Calculus, Applied Mathematics, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Y

      Yale University

      Managing Emotions in Times of Uncertainty & Stress

      Skills you'll gain: Student Support and Services, Emotional Intelligence, Working With Children, School Counseling, Personal Development, Stress Management, Classroom Management, Cultural Responsiveness, Empathy, Self-Awareness, Resilience, Relationship Building

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Case Western Reserve University

      Basic Principles of Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      The Manager's Toolkit: A Practical Guide to Managing People at Work

      Skills you'll gain: People Management, Conflict Management, Human Resources Management and Planning, Employee Performance Management, Performance Appraisal, Leadership, Decision Making, Strategic Decision-Making, Team Motivation, Compensation Management, Recruitment, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Calculus, Applied Mathematics, NumPy, Linear Algebra, Applied Machine Learning, Tensorflow, Machine Learning, Derivatives, Algorithms, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Stocks and Bonds

      Skills you'll gain: Market Data, Finance, General Finance, Corporate Finance, Financial Analysis, Financial Market, Investments, Equities, Investment Management, Capital Markets, Business Mathematics, Cash Flows

      4.6
      Rating, 4.6 out of 5 stars
      ·
      407 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Automatic Data Processing, Inc. (ADP)

      Payroll and Tax Fundamentals

      Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Foundations of AI and Machine Learning: Microsoft
    • Electronic Music Production: Berklee
    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Physics 101 - Forces and Kinematics : Rice University
    • Managing Emotions in Times of Uncertainty & Stress: Yale University
    • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
    • The Manager's Toolkit: A Practical Guide to Managing People at Work: University of London
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Sequences, Time Series and Prediction: DeepLearning.AI

    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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