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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

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Dimensionality Reduction, Regression Analysis, Statistical Inference, Machine Learning Algorithms, Data Processing, Machine Learning, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning, Data Cleansing, Data Manipulation, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Microsoft

      Excel and Copilot Fundamentals

      Skills you'll gain: Prompt Engineering, Excel Formulas, Microsoft Copilot, Microsoft Excel, Data Visualization, Data Analysis, Data Entry, Data Presentation, Spreadsheet Software, UI Components, Data Manipulation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      76 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      335 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Colorado System

      Data Warehouse Concepts, Design, and Data Integration

      Skills you'll gain: Data Warehousing, Database Design, Data Integration, Extract, Transform, Load, Data Modeling, Star Schema, Relational Databases, Snowflake Schema, Data Architecture, Business Intelligence, SQL, Pivot Tables And Charts, Data Mart, PostgreSQL, Data Transformation, Data Quality

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Machine Learning with Python

      Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Python Programming, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, NumPy, Regression Analysis, Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Linux, Computer Security Incident Management, Database Management, Network Security, Networking Hardware, TCP/IP, Cybersecurity, Intrusion Detection and Prevention, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      Philosophy, Science and Religion: Science and Philosophy

      Skills you'll gain: Research, Scientific Methods, Science and Research, General Science and Research, Biology, Systems Thinking, Anthropology, Cultural Responsiveness, Psychology, Sociology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, DevOps, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Event Monitoring, Culture Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Child Nutrition and Cooking

      Skills you'll gain: Nutrition Education, Cooking, Nutrition and Diet, Food and Beverage, Food Safety and Sanitation, Child Health, Working With Children, Community Health, Parent Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, PostgreSQL, Identity and Access Management, Cloud Storage, Data Migration, Cloud Services, Database Administration, Cloud Management, Virtual Machines, Cloud Security, Cloud Applications, Operational Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Alberta

      Software Design and Architecture

      Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Software Systems, Object Oriented Programming (OOP), Java

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…272829…834

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

    • IBM Introduction to Machine Learning: IBM
    • Excel and Copilot Fundamentals: Microsoft
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Data Warehouse Concepts, Design, and Data Integration: University of Colorado System
    • Machine Learning with Python: IBM
    • IBM Cybersecurity Analyst: IBM
    • Philosophy, Science and Religion: Science and Philosophy: The University of Edinburgh
    • Preparing for Google Cloud Certification: Cloud DevOps Engineer: Google Cloud
    • Child Nutrition and Cooking: Stanford 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

    Coursera's Data Structures and Algorithms courses equip learners with fundamental and advanced computational skills:

    • Understanding of basic data structures such as arrays, lists, stacks, queues, and trees.
    • Proficiency in more complex data structures like graphs and hash tables.
    • Techniques for algorithm design and analysis, including sorting, searching, and graph algorithms.
    • Skills for solving computational problems and implementing efficient solutions.
    • Best practices for writing clean, efficient, and scalable code.
    • Preparation for technical interviews that require strong algorithmic thinking.‎

    Data Structures and Algorithms courses on Coursera are structured for learners with varying levels of programming expertise:

    • Beginners who have basic programming knowledge can start with introductory courses to build a foundation in data structures and simple algorithms.
    • Those with some experience in coding can enhance their skills with more advanced topics, focusing on algorithmic strategies and data manipulation.
    • Advanced learners can tackle complex problems and study specialized algorithms that are critical for high-level programming and software development.‎

    Completing Data Structures and Algorithms courses on Coursera can lead to a variety of credentials that may support your professional development:

    • Professional certificates that may demonstrate your analytical and coding skills.
    • Specializations that focus on specific areas of algorithms or complex data structures, potentially enhancing your knowledge depth and breadth.
    • Certificates that can be beneficial for career development in software development and engineering roles.‎

    Proficiency in data structures and algorithms is essential for several technical roles across industries:

    • Software Engineer, developing and optimizing complex software applications.
    • Systems Analyst, designing algorithms to improve system performance.
    • Backend Developer, ensuring data is handled efficiently in software solutions.
    • Data Scientist, using algorithmic techniques to analyze large data sets.
    • Technical Product Manager, overseeing the development of products with a strong focus on technical details and performance.‎

    Yes, Coursera offers a variety of free courses across many topics, including data structures and algorithms. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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