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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
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Security Controls, Business Continuity, Disaster Recovery, Information Assurance, Peripheral Devices, Configuration Management, Cybersecurity, Cloud Security, Cloud Infrastructure, Cloud Applications, Cloud Platforms, Network Protocols

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      Business and Financial Modeling

      Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Data Modeling, Spreadsheet Software, Google Sheets

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Introduction to Finance and Accounting

      Skills you'll gain: Financial Statements, Return On Investment, Financial Statement Analysis, Financial Reporting, Capital Budgeting, Financial Accounting, Financial Modeling, Working Capital, Balance Sheet, Accrual Accounting, Cash Flows, Income Statement, Finance, Accounting, Financial Analysis, Tax Planning, Equities, Financial Planning, Business Valuation, Corporate Finance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Stanford Introduction to Food and Health

      Skills you'll gain: Cooking, Nutrition and Diet, Preventative Care, Food and Beverage, Public Health and Disease Prevention, Behavioral Health, Clinical Nutrition, Chronic Diseases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Performance Tuning, Data Pipelines, Data Integrity, Business Intelligence, Business Process, Data Mart, Data Validation, Data Quality, SQL, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      636 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Leading People and Teams

      Skills you'll gain: Talent Management, Team Motivation, Team Building, Teamwork, Team Management, Talent Pipelining, Influencing, Team Leadership, People Development, Team Performance Management, Employee Onboarding, Employee Coaching, Conflict Management, Employee Engagement, Interviewing Skills, Persuasive Communication, Leadership, Professional Networking, Business Leadership, Leadership Development

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Data Analysis using Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      Y

      Yale University

      Financial Markets

      Skills you'll gain: Investment Banking, Risk Management, Financial Market, Financial Regulation, Financial Services, Finance, Business Risk Management, Securities (Finance), Financial Policy, Enterprise Risk Management (ERM), Capital Markets, Behavioral Economics, Banking, Corporate Finance, Governance, Investments, Insurance, Underwriting, Derivatives, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

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    1…111213…834

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

    • IBM and ISC2 Cybersecurity Specialist: ISC2
    • Business and Financial Modeling: University of Pennsylvania
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Introduction to Finance and Accounting: University of Pennsylvania
    • Stanford Introduction to Food and Health: Stanford University
    • The Path to Insights: Data Models and Pipelines: Google
    • Leading People and Teams: University of Michigan
    • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
    • Neural Networks and Deep Learning: DeepLearning.AI
    • A Crash Course in Data Science: Johns Hopkins 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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