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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
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Practical Geospatial Geostatistical Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Box Plots, Statistical Methods, Statistical Modeling, R Programming, Plot (Graphics), Statistical Analysis, Rmarkdown, Probability & Statistics, Data Cleansing, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation

      Intermediate · Specialization · 3 - 6 Months

    • 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: Free Trial
      Free Trial
      R

      Rice University

      Physics 101 - Forces and Kinematics

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      176 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Adaptability and Resiliency

      Skills you'll gain: Adaptability, Resilience, Professional Development, Overcoming Obstacles, Self-Awareness, Cognitive flexibility, Emotional Intelligence, Personal Development, Relationship Building, Plan Execution, Crisis Management, Goal Setting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      592 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • 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: New
      New
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Using R for Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Statistical Analysis, Data Import/Export, Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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

    • 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: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…646566…834

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

    • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
    • Managing Emotions in Times of Uncertainty & Stress: Yale University
    • Physics 101 - Forces and Kinematics : Rice University
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Adaptability and Resiliency: University of California, Davis
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • The Manager's Toolkit: A Practical Guide to Managing People at Work: University of London
    • Matrix Calculus for Data Science & Machine Learning: Packt
    • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
    • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University

    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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