What are Data Structures and Algorithms, and why are they important to learn?

Data Structures and Algorithms work together to solve computational problems, usually by enabling an algorithm to manipulate data efficiently. The algorithm uses a set of rules (the data) to find the greatest common divisor, with one example being YouTube tracking a user’s activities to display videos relevant to them. Actions such as “liking” or “disliking” a video create data structures that inform the direction of the algorithm, bringing content to users that they are more likely to find engaging. In the field of Marketing, Data Structures and Algorithms are commonly used to help organizations determine how to attract an audience to their online content—but they’re also used in the field of healthcare in Medical Algorithms. These are important to learn in order to calculate someone’s BMI, drug dosages, and more.

What jobs can you get in Data Structures and Algorithms?

Data Structures and Algorithms go together like the tech industry and career opportunities—as long as people are using computers, they’ll both be in abundance. When concepts like running times, binary searches, dynamic programming, and others are nailed down, learners can begin to explore the wide variety of roles available to them. These roles include Platform Engineer, Graphics Engineer, Full-Stack Engineer, Backend Engineer, Product Analyst, Data Scientist, Data Engineer, Big Data Engineer, Data Architect, Application Developer, Mobile Developer, and others that are related. A search of “Data Structures and Algorithms” on LinkedIn’s job portal shows roughly 11,500 results in the U.S. alone, with opportunities at large and small tech firms.

How can online courses help you learn Full-Stack Web Development?

Data Structures and Algorithms courses offered through Coursera equip learners with knowledge in common data structures that are used in various computational problems; typical use cases for certain data structures; principles and methods in the design and implementation of various data structures; and more. Lessons on Data Structures and Algorithms are taught by instructors from major universities, including University of California at San Diego and Tsinghua University. Learners can enjoy exploring Data Structures and Algorithms with instructors specializing in Computer Science, Technology, Mathematics, and other disciplines. Course content on Data Structures and Algorithms is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.

What skills or experience do I need to already have before learning data structures and algorithms?

Some of the skills or experience you may need to have before learning data structures and algorithms include coding, some programming concepts, and a basic understanding of Java and Object-Oriented Programming (OOP). If you understand the concept of sorting algorithms, you may already have some skills needed to study the subject. Also, if you have an understanding of basic data structures such as linked lists, queues, matrices, stacks, and trees, you may have some solid skills needed to learn data structures and algorithms.

What kind of people are best suited for roles in data structures and algorithms?

The kind of people who are best suited for roles in data structures and algorithms are focused on becoming programmers or software engineers/developers who have an emphasis on applications and scientific performance analysis. They are comfortable thinking outside the box for innovative ways to save a company money by using algorithms to solve problems. These professionals enjoy learning about giving computers the right sets of instructions so that they can skillfully solve very complex problems. They may also enjoy working in roles related to data structures and algorithms because they are energized by wanting to make software run properly and efficiently.

How do I know if learning data structures and algorithms is right for me?

Learning data structures and algorithms may be right for you if you would like to advance your engineering or data science career. If you would like to learn how to apply basic algorithmic techniques, such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges, then studying the subject may be right for you. Learning data structures and algorithms might benefit you if you’d like to understand how to apply various data structures such as a stack, queue, hash table, priority queue, binary search tree, graph, and string to solve programming challenges, as well. But to understand how to reach a good algorithm, you’ll need to understand how to create a set of good data structures. Studying data sets and algorithms can benefit you if you need to learn how data structures are implemented in different programming languages.

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University of Colorado Boulder
Master of Engineering in Engineering Management
Habilidades que você terá: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Mathematics, Strategy and Operations, Computer Architecture, Databases, Leadership and Management, Communication, Hardware Design, Statistical Programming, Operating Systems, Machine Learning, Research and Design, Data Analysis, Finance, Computer Programming, Business Analysis, SQL, Writing, Regression, Data Structures, Project Management, Probability Distribution, Software Engineering, Business Communication, Entrepreneurship, Database Design, Statistical Tests, Statistical Analysis, Computer Graphics, Computer Networking, Design and Product, Accounting, Systems Design, Human Computer Interaction, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, PostgreSQL, Estimation, Data Visualization, Problem Solving, Operations Research, Internet Of Things, Network Architecture, Applied Mathematics, Computer Vision, Graph Theory, Deep Learning, Geometry, User Experience, Marketing, Computer Graphic Techniques, Mathematical Theory & Analysis, Programming Principles, Python Programming, Supply Chain and Logistics, Algebra, Cryptography, Business Psychology, Interactive Design, Critical Thinking, Security Engineering, Data Mining, Correlation And Dependence, Distributed Computing Architecture, Financial Analysis, Linear Algebra, Linux, User Experience Design, Cost Accounting, Differential Equations, Experiment, Cloud Computing, Cyberattacks, Computer Programming Tools, Computational Logic, Scrum (Software Development), Applied Machine Learning, Budget Management, Calculus, Econometrics, Feature Engineering, Graphic Design, Other Programming Languages, Sales, Software Architecture, Software Testing, System Programming, Visual Design, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Data Warehousing, Strategy, Basic Descriptive Statistics, Computational Thinking, Data Analysis Software, Exploratory Data Analysis, Investment Management, Material Handling, Organizational Development, Product Lifecycle, Risk Management, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Human Resources, Microarchitecture, Security Strategy, Application Development, Computer Security Models, Network Model, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Plot (Graphics), R Programming, Generally Accepted Accounting Principles (GAAP), Account Management, Banking, BlockChain, Business Process Management, C Programming Language Family, Contract Management, Data Architecture, FinTech, Financial Accounting, Financial Management, Geovisualization, Inventory Management, Management Accounting, Markov Model, Matlab, Natural Language Processing, Operations Management, Planning, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Leadership Development, Network Analysis, Network Security, System Software
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Degree · 1-4 Years
University of Colorado Boulder
Master of Science in Electrical Engineering
Habilidades que você terá: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Mathematics, Strategy and Operations, Computer Architecture, Databases, Leadership and Management, Communication, Hardware Design, Statistical Programming, Operating Systems, Machine Learning, Research and Design, Data Analysis, Finance, Computer Programming, Business Analysis, SQL, Writing, Regression, Data Structures, Project Management, Probability Distribution, Software Engineering, Business Communication, Entrepreneurship, Database Design, Statistical Tests, Statistical Analysis, Computer Graphics, Computer Networking, Design and Product, Accounting, Systems Design, Human Computer Interaction, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, PostgreSQL, Estimation, Data Visualization, Problem Solving, Operations Research, Internet Of Things, Network Architecture, Applied Mathematics, Computer Vision, Graph Theory, Deep Learning, Geometry, User Experience, Marketing, Computer Graphic Techniques, Mathematical Theory & Analysis, Programming Principles, Python Programming, Supply Chain and Logistics, Algebra, Cryptography, Business Psychology, Interactive Design, Critical Thinking, Security Engineering, Data Mining, Correlation And Dependence, Distributed Computing Architecture, Financial Analysis, Linear Algebra, Linux, User Experience Design, Cost Accounting, Differential Equations, Experiment, Cloud Computing, Cyberattacks, Computer Programming Tools, Computational Logic, Scrum (Software Development), Applied Machine Learning, Budget Management, Calculus, Econometrics, Feature Engineering, Graphic Design, Other Programming Languages, Sales, Software Architecture, Software Testing, System Programming, Visual Design, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Data Warehousing, Strategy, Basic Descriptive Statistics, Computational Thinking, Data Analysis Software, Exploratory Data Analysis, Investment Management, Material Handling, Organizational Development, Product Lifecycle, Risk Management, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Human Resources, Microarchitecture, Security Strategy, Application Development, Computer Security Models, Network Model, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Plot (Graphics), R Programming, Generally Accepted Accounting Principles (GAAP), Account Management, Banking, BlockChain, Business Process Management, C Programming Language Family, Contract Management, Data Architecture, FinTech, Financial Accounting, Financial Management, Geovisualization, Inventory Management, Management Accounting, Markov Model, Matlab, Natural Language Processing, Operations Management, Planning, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Leadership Development, Network Analysis, Network Security, System Software
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Degree · 1-4 Years
Arizona State University
Software Engineering MasterTrack® Certificate
Habilidades que você terá: Machine Learning, Theoretical Computer Science, Software Engineering, BlockChain, Finance, Software Architecture, Algorithms, Software Testing, Statistical Machine Learning, Computer Programming, Mobile Development, Deep Learning, Data Analysis, Computational Logic, Computer Architecture, Data Visualization, Databases, Mathematics, Probability & Statistics, Computational Thinking, Data Management, General Statistics, Mathematical Theory & Analysis, Programming Principles, Bayesian Network, Computer Vision, Data Mining, Data Structures, Design and Product, Distributed Computing Architecture, Feature Engineering, NoSQL, Operating Systems, Product Design, Security Engineering, Artificial Neural Networks, Operations Research, Probability Distribution, Research and Design, Strategy and Operations, Amazon Web Services, Application Development, Calculus, Cloud Computing, Communication, Cryptography, Data Model, Database Administration, Database Application, Database Design, Dimensionality Reduction, Hardware Design, Journalism, Microarchitecture, Mobile Security, SQL, Software Framework, Statistical Programming, System Programming, iOS Development, Advertising, Algebra, Computer Graphics, Computer Networking, Critical Thinking, Docker (Software), Econometrics, Entrepreneurship, Geovisualization, Human Computer Interaction, Leadership and Management, Marketing, Matlab, Network Security, Other Programming Languages, Planning, Python Programming, Scala Programming, Security Strategy, Spreadsheet Software, Statistical Tests, Supply Chain Systems, Supply Chain and Logistics, System Security, Tableau Software, User Experience, Web Development
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Mastertrack · 6-12 Months
University of Michigan
Master of Applied Data Science
Habilidades que você terá: Machine Learning, Mathematics, Probability & Statistics, Data Analysis, Data Mining, Databases, Machine Learning Algorithms, Network Analysis, Statistical Programming, Communication, PostgreSQL, Data Management, General Statistics, Natural Language Processing, SQL, Computer Programming, Deep Learning, Research and Design, Storytelling, Python Programming, Computer Networking, Data Visualization, Econometrics, Forecasting, Graph Theory, Network Model, Theoretical Computer Science, Algebra, Algorithms, Applied Machine Learning, Artificial Neural Networks, Business Communication, Computer Programming Tools, Database Design, Experiment, Javascript, Operating Systems, Probability Distribution, Scientific Visualization, Security Engineering, Software Architecture, Software Engineering, Software Security, System Security, Visual Design, Web Development, Advertising, Apache, Big Data, Business Psychology, Computational Logic, Data Structures, Extract, Transform, Load, Finance, Human Computer Interaction, Marketing, Mathematical Theory & Analysis, Mergers & Acquisitions, Other Programming Languages, Programming Principles, Regression, Systems Design, Training, User Experience
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Degree · 1-4 Years
IIT Guwahati
Post Graduate Certificate in UX Design and HCI
Habilidades que você terá: Human Computer Interaction, Research and Design, Business Psychology, User Experience Design, Design and Product, User Research, Computer Graphics, Interactive Design, User Experience, Data Analysis, Data Management, Data Mining, Data Structures, Machine Learning, Machine Learning Algorithms, Theoretical Computer Science
University Certificate · 6-12 Months
University of Illinois
Graduate Certificate in Accounting Data Analytics
Habilidades que você terá: Accounting, Finance, Leadership and Management, Business Analysis, Data Analysis, Entrepreneurship, Financial Accounting, Marketing, Strategy and Operations, Strategy, Sales, Financial Analysis, Communication, Management Accounting, Mergers & Acquisitions, Taxes, Probability & Statistics, Business Psychology, Statistical Programming, Investment Management, Research and Design, Audit, Generally Accepted Accounting Principles (GAAP), Marketing Management, Python Programming, Banking, Market Analysis, Human Resources, Basic Descriptive Statistics, Data Visualization, Market Research, Organizational Development, Statistical Analysis, Corporate Accouting, General Accounting, General Statistics, Customer Analysis, Financial Management, Machine Learning, Budget Management, Supply Chain and Logistics, Exploratory Data Analysis, Project Management, Culture, Marketing Design, Media Strategy & Planning, R Programming, Risk Management, Cost Accounting, Regression, Data Management, Business Communication, Business Development, Digital Marketing, Leadership Development, Operations Management, Spreadsheet Software, Accounts Payable and Receivable, Computer Programming, Advertising, Brand Management, Decision Making, Media Production, Design and Product, Negotiation, Product Marketing, Theoretical Computer Science, Data Visualization Software, Plot (Graphics), Algorithms, Data Analysis Software, Entrepreneurial Finance, Machine Learning Algorithms, Software Engineering, Statistical Tests, Performance Management, Data Structures, Inventory Management, Statistical Visualization, Adaptability, Advertising Sales, Big Data, Collaboration, Data Mining, Forecasting, Influencing, Natural Language Processing, Social Media, Software Testing, Storytelling, Databases, Experiment, Mathematics, Regulations and Compliance, SQL, Agile Software Development, Behavioral Economics, BlockChain, Business Design, Business Process Management, Change Management, Conflict Management, Creativity, Extract, Transform, Load, Graph Theory, Human Learning, Innovation, Marketing Psychology, Material Handling, Network Analysis, People Development, Planning, Problem Solving, Product Lifecycle, Public Relations, Search Engine Optimization, Securities Sales, Supply Chain Systems, Survey Creation, Web Design, Web Development, Probability Distribution, Cash Management, Correlation And Dependence, Critical Thinking, Database Administration, Microsoft Excel, Process Analysis, Visualization (Computer Graphics), Back-End Web Development, Business Intelligence, Computer Graphics, Data Architecture, Econometrics, Game Theory, Human Computer Interaction, Journalism, Operating Systems, Product Management, Scrum (Software Development), Systems Design, Tableau Software, User Research, Virtual Reality
Crédito oferecido
Graduate Certificate · 6-12 Months
University of Illinois
Graduate Certificate in Strategic Leadership & Management
Habilidades que você terá: Accounting, Finance, Leadership and Management, Business Analysis, Data Analysis, Entrepreneurship, Financial Accounting, Marketing, Strategy and Operations, Strategy, Sales, Financial Analysis, Communication, Management Accounting, Mergers & Acquisitions, Taxes, Probability & Statistics, Business Psychology, Statistical Programming, Investment Management, Research and Design, Audit, Generally Accepted Accounting Principles (GAAP), Marketing Management, Python Programming, Banking, Market Analysis, Human Resources, Basic Descriptive Statistics, Data Visualization, Market Research, Organizational Development, Statistical Analysis, Corporate Accouting, General Accounting, General Statistics, Customer Analysis, Financial Management, Machine Learning, Budget Management, Supply Chain and Logistics, Exploratory Data Analysis, Project Management, Culture, Marketing Design, Media Strategy & Planning, R Programming, Risk Management, Cost Accounting, Regression, Data Management, Business Communication, Business Development, Digital Marketing, Leadership Development, Operations Management, Spreadsheet Software, Accounts Payable and Receivable, Computer Programming, Advertising, Brand Management, Decision Making, Media Production, Design and Product, Negotiation, Product Marketing, Theoretical Computer Science, Data Visualization Software, Plot (Graphics), Algorithms, Data Analysis Software, Entrepreneurial Finance, Machine Learning Algorithms, Software Engineering, Statistical Tests, Performance Management, Data Structures, Inventory Management, Statistical Visualization, Adaptability, Advertising Sales, Big Data, Collaboration, Data Mining, Forecasting, Influencing, Natural Language Processing, Social Media, Software Testing, Storytelling, Databases, Experiment, Mathematics, Regulations and Compliance, SQL, Agile Software Development, Behavioral Economics, BlockChain, Business Design, Business Process Management, Change Management, Conflict Management, Creativity, Extract, Transform, Load, Graph Theory, Human Learning, Innovation, Marketing Psychology, Material Handling, Network Analysis, People Development, Planning, Problem Solving, Product Lifecycle, Public Relations, Search Engine Optimization, Securities Sales, Supply Chain Systems, Survey Creation, Web Design, Web Development, Probability Distribution, Cash Management, Correlation And Dependence, Critical Thinking, Database Administration, Microsoft Excel, Process Analysis, Visualization (Computer Graphics), Back-End Web Development, Business Intelligence, Computer Graphics, Data Architecture, Econometrics, Game Theory, Human Computer Interaction, Journalism, Operating Systems, Product Management, Scrum (Software Development), Systems Design, Tableau Software, User Research, Virtual Reality
Crédito oferecido
Graduate Certificate · 6-12 Months

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Em resumo, aqui estão 10 dos nossos cursos mais populares data structures and algorithms

Create a Boggle Word Solver using recursion in Python: Coursera Project Network
Analytical Solutions to Common Healthcare Problems: University of California, Davis
Process Map Data using C++ Adjacency List Shortest Path: Coursera Project Network
Genome Assembly Programming Challenge: University of California San Diego
Create a Network of Friends using a Weighted Graph in Java: Coursera Project Network
Master of Engineering in Engineering Management: University of Colorado Boulder
Master of Science in Electrical Engineering: University of Colorado Boulder
Software Engineering MasterTrack® Certificate: Arizona State University
Master of Applied Data Science: University of Michigan
Post Graduate Certificate in UX Design and HCI: IIT Guwahati

Habilidades que você pode aprender em Algorithms

Gráficos (22)

Otimização Matemática (21)

Programa De Computador (20)

Estrutura De Dados (19)

Resolução De Problemas (19)

Álgebra (12)

Visão Computacional (10)

Matemática Discreta (10)

Teoria Dos Grafos (10)

Processamento De Imagens (10)

Álgebra Linear (10)

Reforço De Aprendizagem (10)

Perguntas frequentes sobre Data Structures And Algorithms

Data Structures and Algorithms work together to solve computational problems, usually by enabling an algorithm to manipulate data efficiently. The algorithm uses a set of rules (the data) to find the greatest common divisor, with one example being YouTube tracking a user’s activities to display videos relevant to them. Actions such as “liking” or “disliking” a video create data structures that inform the direction of the algorithm, bringing content to users that they are more likely to find engaging.
In the field of Marketing, Data Structures and Algorithms are commonly used to help organizations determine how to attract an audience to their online content—but they’re also used in the field of healthcare in Medical Algorithms. These are important to learn in order to calculate someone’s BMI, drug dosages, and more.‎
Data Structures and Algorithms go together like the tech industry and career opportunities—as long as people are using computers, they’ll both be in abundance. When concepts like running times, binary searches, dynamic programming, and others are nailed down, learners can begin to explore the wide variety of roles available to them. These roles include Platform Engineer, Graphics Engineer, Full-Stack Engineer, Backend Engineer, Product Analyst, Data Scientist, Data Engineer, Big Data Engineer, Data Architect, Application Developer, Mobile Developer, and others that are related.
A search of “Data Structures and Algorithms” on LinkedIn’s job portal shows roughly 11,500 results in the U.S. alone, with opportunities at large and small tech firms.‎
Data Structures and Algorithms courses offered through Coursera equip learners with knowledge in common data structures that are used in various computational problems; typical use cases for certain data structures; principles and methods in the design and implementation of various data structures; and more.
Lessons on Data Structures and Algorithms are taught by instructors from major universities, including University of California at San Diego and Tsinghua University. Learners can enjoy exploring Data Structures and Algorithms with instructors specializing in Computer Science, Technology, Mathematics, and other disciplines. Course content on Data Structures and Algorithms is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎
Some of the skills or experience you may need to have before learning data structures and algorithms include coding, some programming concepts, and a basic understanding of Java and Object-Oriented Programming (OOP). If you understand the concept of sorting algorithms, you may already have some skills needed to study the subject. Also, if you have an understanding of basic data structures such as linked lists, queues, matrices, stacks, and trees, you may have some solid skills needed to learn data structures and algorithms.‎
The kind of people who are best suited for roles in data structures and algorithms are focused on becoming programmers or software engineers/developers who have an emphasis on applications and scientific performance analysis. They are comfortable thinking outside the box for innovative ways to save a company money by using algorithms to solve problems. These professionals enjoy learning about giving computers the right sets of instructions so that they can skillfully solve very complex problems. They may also enjoy working in roles related to data structures and algorithms because they are energized by wanting to make software run properly and efficiently.‎
Learning data structures and algorithms may be right for you if you would like to advance your engineering or data science career. If you would like to learn how to apply basic algorithmic techniques, such as greedy algorithms, binary search, sorting, and dynamic programming to solve programming challenges, then studying the subject may be right for you. Learning data structures and algorithms might benefit you if you’d like to understand how to apply various data structures such as a stack, queue, hash table, priority queue, binary search tree, graph, and string to solve programming challenges, as well. But to understand how to reach a good algorithm, you’ll need to understand how to create a set of good data structures. Studying data sets and algorithms can benefit you if you need to learn how data structures are implemented in different programming languages.‎

Este conteúdo de Perguntas frequentes foi disponibilizado apenas para fins informativos. Os aprendizes são aconselhados a realizar pesquisas adicionais para garantir que os cursos e outras credenciais buscadas atendam a seus objetivos pessoais, profissionais e financeiros.