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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

    • U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      K

      Knowledge Accelerators

      From Excel to Power BI

      Skills you'll gain: Power BI, Dashboard, Data Presentation, Data Visualization Software, Interactive Data Visualization, Data Import/Export, Business Intelligence, Microsoft Excel, Data Analysis, Data-Driven Decision-Making, Data Sharing, Data Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Data Science, Data Visualization, Graphing, Programming Principles, Data Import/Export, Scripting, Data Structures, Software Installation, Package and Software Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, OpenAI, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, AI Personalization, Document Management, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      People and Soft Skills for Professional and Personal Success

      Skills you'll gain: Active Listening, Problem Solving, Collaboration, Presentations, Critical Thinking and Problem Solving, Interpersonal Communications, Teamwork, Conflict Management, Creative Problem-Solving, Constructive Feedback, Creative Thinking, Root Cause Analysis, Virtual Teams, Social Skills, Professional Development, Public Speaking, Persuasive Communication, Client Services, Ability To Meet Deadlines, Verbal Communication Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Development Testing, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistics, Scientific Methods, Oral Expression, Correlation Analysis, Interpersonal Communications, Interactive Learning, Learning Strategies, Instructional Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Introduction to Financial Accounting

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Reporting, Financial Accounting, Balance Sheet, Accrual Accounting, Financial Analysis, Cash Flows, Income Statement, Bookkeeping, Revenue Recognition, Depreciation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      California Institute of the Arts

      Graphic Design

      Skills you'll gain: Typography, Design Elements And Principles, Graphic Design, Visual Design, Logo Design, Design Software, Digital Design, Creative Design, Graphic and Visual Design, Color Theory, Adobe InDesign, Photo Editing, Photography, Style Guides, Branding, Peer Review, Art History, Design, Design Strategies, Design Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      198 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Business Foundations

      Skills you'll gain: Operations Management, Return On Investment, Operational Efficiency, Financial Statements, Financial Statement Analysis, Human Capital, Go To Market Strategy, Process Analysis, Branding, People Management, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Balance Sheet, Consumer Behaviour, Human Resource Strategy, Marketing Planning, Peer Review, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Master Microsoft Office 365 and Power Platform

      Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Outlook, Data Integration, Business Intelligence, Business Process Automation, Productivity Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.5K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • From Excel to Power BI: Knowledge Accelerators
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • AI Agent Developer: Vanderbilt University
    • People and Soft Skills for Professional and Personal Success: IBM
    • Google IT Automation with Python: Google
    • Introduction to Logic and Critical Thinking: Duke University
    • Introduction to Financial Accounting: University of Pennsylvania
    • Graphic Design: California Institute of the Arts
    • Python Data Analytics: Meta

    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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