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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
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Lausanne

      Accounting 1

      Skills you'll gain: Balance Sheet, Income Statement, Cash Flows, Financial Accounting, Financial Statements, Accounting, Bookkeeping, Working Capital, General Accounting, Accrual Accounting, Financial Reporting, Financial Analysis, Ledgers (Accounting), Profit and Loss (P&L) Management, Accounts Payable and Receivable, Reconciliation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      189 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Snowflake

      Introduction to Modern Data Engineering with Snowflake

      Skills you'll gain: Data Pipelines, Data Transformation, Extract, Transform, Load, Data Presentation, Data Integration, Data Warehousing, Data Import/Export, Stored Procedure, Data Sharing, SQL, Automation, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      103 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Getting started with Google Workspace

      Skills you'll gain: Google Docs, Gmail, Google Sheets, Google Workspace, Presentations, Calendar Management, Spreadsheet Software, File Management, Excel Formulas, Email Security, Data Visualization, Productivity Software, Collaborative Software, Data Validation, Document Management, Setting Appointments, Meeting Facilitation, Sales Presentations, Version Control, Virtual Teams

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      560 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Design a User Experience for Social Good & Prepare for Jobs

      Skills you'll gain: User Experience Design, UI/UX Research, User Centered Design, Design Thinking, Professional Development, Usability, Interviewing Skills, Responsive Web Design, Web Applications, Mobile Development, Mockups, Prototyping, Generative AI

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science with R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Data Transformation, Database Management, Data Manipulation, Web Scraping, R Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The University of North Carolina at Chapel Hill

      Positive Psychology

      Skills you'll gain: Positivity, Resilience, Personal Development, Emotional Intelligence, Adaptability, Relationship Building, Psychology, Creativity, Mindfulness, Community Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Construction Project Management

      Skills you'll gain: Construction Management, Building Information Modeling, Environment Health And Safety, Construction Estimating, Project Schedules, Lean Methodologies, Work Breakdown Structure, Project Management, Project Management Life Cycle, Contract Management, Project Planning, Risk Management, Scheduling, Stakeholder Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Security Analyst Fundamentals

      Skills you'll gain: Cyber Threat Hunting, Incident Response, Cyber Threat Intelligence, Penetration Testing, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Modeling, Threat Detection, Threat Management, MITRE ATT&CK Framework, Cryptography, Security Testing, Incident Management, Application Security, Encryption, Cybersecurity, Code Review, Vulnerability Scanning, Vulnerability Assessments, Open Web Application Security Project (OWASP)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Fundamentals of Reinforcement Learning: University of Alberta
    • Fundamentals of Computing: Rice University
    • Accounting 1: University of Lausanne
    • Introduction to Modern Data Engineering with Snowflake: Snowflake
    • Getting started with Google Workspace: Google Cloud
    • Introduction to AI: Google
    • Design a User Experience for Social Good & Prepare for Jobs: Google
    • Applied Data Science with R: IBM
    • Positive Psychology : The University of North Carolina at Chapel Hill
    • Everyday Excel: University of Colorado Boulder

    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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