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    • Data Structures And Algorithms

    Data Structures And Algorithms Courses Online

    Master data structures and algorithms for efficient programming. Learn about arrays, linked lists, trees, and sorting algorithms in various programming languages.

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    Explore the Data Structures And Algorithms Course Catalog

    • U

      University of California San Diego

      Advanced Data Structures in Java

      Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      Agentic AI and AI Agents for Leaders

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, Workflow Management, Agentic systems, Productivity, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Business Process Automation, OpenAI, Personalized Service, Large Language Modeling, Automation, Business Transformation, Expense Management, Creative Thinking, Ingenuity, Technology Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.1K reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Web Content Accessibility Guidelines, Cross Platform Development, Prototyping, Wireframing, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73K reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Tableau Business Intelligence Analyst

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Data Presentation, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Statistical Visualization, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Data Quality, Data Management, Interactive Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      941 reviews

      Beginner · Professional Certificate · 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
      ·
      4K reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Productivity Software, Artificial Intelligence, Computer Security Awareness Training, Operational Efficiency, Innovation, Human Machine Interfaces, Information Privacy, Machine Learning, Content Creation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      ETL and Data Pipelines with Shell, Airflow and Kafka

      Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Real Time Data, Data Cleansing, Big Data, Performance Tuning, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      408 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM AI Product Manager

      Skills you'll gain: Prompt Engineering, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Product Roadmaps, ChatGPT, Large Language Modeling, Product Planning, Commercialization, Product Strategy, Artificial Intelligence, Project Management Life Cycle, Data Ethics, OpenAI, Stakeholder Engagement, Stakeholder Management, Competitive Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      359 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      819 reviews

      Beginner · Course · 1 - 3 Months

    Data Structures And Algorithms learners also search

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    1…151617…834

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

    • Advanced Data Structures in Java: University of California San Diego
    • Agentic AI and AI Agents for Leaders: Vanderbilt University
    • Foundations of User Experience (UX) Design: Google
    • Tableau Business Intelligence Analyst: Tableau Learning Partner
    • People and Soft Skills for Professional and Personal Success: IBM
    • Google AI Essentials: Google
    • ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
    • IBM AI Product Manager: IBM
    • Introduction to Data Engineering: DeepLearning.AI
    • Meta Marketing Analytics: Meta

    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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