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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
      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

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Data Cleansing, GitHub, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Process Mapping, Process Optimization, Requirements Management, Risk Management, Business Requirements, Stakeholder Management, Work Breakdown Structure, Scope Management, Process Analysis, Stakeholder Engagement, Data Visualization Software, Excel Formulas, Microsoft Excel, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Google Analytics, Data Processing, Analytical Skills, Artificial Intelligence, R Programming, Data Storytelling, Project Documentation, Presentations, Portfolio Management, LinkedIn

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      IBM Data Architecture

      Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • 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

    • I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Data Management, NoSQL, Database Management Systems, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Analytical Skills, User Feedback, Decision Tree Learning, Stakeholder Engagement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Key Performance Indicators (KPIs), Data Visualization, Dashboard, Interactive Data Visualization, Data Mapping, Tableau Software, Proposal Development, Graphing, Histogram, Scatter Plots, Tree Maps, Exploratory Data Analysis, Statistical Visualization, Storytelling, Performance Metric, Geospatial Mapping, Heat Maps

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

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Web Scraping, Automation, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data structures and algorithms

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    1…678…834

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

    • Stanford Introduction to Food and Health: Stanford University
    • Introduction to Data Science: IBM
    • Applied Data Science with Python: University of Michigan
    • IBM Business Analyst: IBM
    • Google Data Analytics Capstone: Complete a Case Study: Google
    • IBM Data Architecture: IBM
    • Introduction to Finance and Accounting: University of Pennsylvania
    • Data Engineering Foundations: IBM
    • Big Data: University of California San Diego
    • Data Science Methodology: IBM

    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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