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    • Object Oriented Programming

    Object Oriented Programming Courses Online

    Explore object-oriented programming (OOP) for building modular and reusable code. Learn OOP concepts and their implementation in various programming languages.

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    Explore the Object Oriented Programming Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C, Go, and C++: A Comprehensive Introduction to Programming

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Debugging, C (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Code Review, Programming Principles, Computer Programming, Unit Testing, Algorithms, Command-Line Interface, Program Development, Integrated Development Environments, Software Testing, Computer Science, Computational Thinking, Graph Theory

      4.5
      Rating, 4.5 out of 5 stars
      ·
      9.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Software Technical Review, Integrated Development Environments, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming and Software Engineering Fundamentals

      Skills you'll gain: Object Oriented Programming (OOP), Java, Hypertext Markup Language (HTML), Software Design, Software Design Patterns, Data Structures, HTML and CSS, Debugging, Software Engineering, Cascading Style Sheets (CSS), Web Development, Computer Programming, Programming Principles, Javascript, Encryption, Algorithms, AI Personalization, Web Design, Data Processing, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22K reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      Fundamentals of Object-Oriented Programming - C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Programming Principles, Data Structures, Algorithms, File Management, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: User Story, CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Bash (Scripting Language), DevOps, Git (Version Control System), Flask (Web Framework), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      C Programming with Linux

      Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Computer Programming Tools, Embedded Systems, Embedded Software, Programming Principles, Computer Engineering, Linux Servers, Linux, File Systems, System Programming, Build Tools, Data Structures, Unix, Program Development, Development Environment, Algorithms, Computer Architecture, Software Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      399 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to R Programming for Data Science

      Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

      4.5
      Rating, 4.5 out of 5 stars
      ·
      566 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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 Trial
      Free Trial
      A

      Amazon

      Programming with Java

      Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, File Management, Data Import/Export, Maintainability, Debugging, Software Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular object oriented programming courses

    • Introduction to Programming with Python and Java: University of Pennsylvania
    • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
    • Data Science: Foundations using R: Johns Hopkins University
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Java Programming and Software Engineering Fundamentals: Duke University
    • Fundamentals of Object-Oriented Programming - C++: Packt
    • IBM Data Analytics with Excel and R: IBM
    • IBM DevOps and Software Engineering: IBM
    • C Programming with Linux: Dartmouth College
    • Introduction to R Programming for Data Science: IBM

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Object Oriented Programming

    Object-oriented Programming is a way to classify code based on the concept of objects—in other words, data created for specific functions. The idea is that no other part of the code can access data within a function, benefitting programmers by enabling them to create new objects based on existing ones and making them easier to modify.

    Some examples of Object-oriented Programming languages include Java, C++, and Python, though there are various others. Learning these programming languages is important because they enable learners to design programs capable of managing large amounts of data.‎

    Some of the most-used, in-demand programming languages use Object-oriented Programming. These languages’ prevalence in the job market paired with their advantages—from Python’s readability, to C#’s versatility, to C++’s reliability, to Java’s popularity—make Object-oriented Programming a career-enhancing feature to master.

    Often abbreviated “OOP” in job descriptions, LinkedIn shows that there are roughly 16,400 results in the United States when the acronym is searched in their jobs portal. Some job opportunities that list “OOP” as a requirement include Technical Lead, QA Analyst, Multimedia Designer, Front-end Engineer, Data Engineer, Business Systems Analyst, Web Application Engineer, Business Intelligence Developer, UX Engineer, and others that are related.‎

    Object-oriented Programming courses offered through Coursera equip learners with knowledge in using it to solve complex problems in Java; design programs capable of managing large amounts of data; implement data structures as C++ classes; create modular, flexible, and reusable software; and more.

    Lessons on Object-oriented Programming are taught by instructors from major tech names and universities, including Duke University, University of Illinois, University of California at San Diego, and other institutions. Learners can enjoy exploring Object-oriented Programming with instructors specializing in Computer Science, Data Structures, Software Engineering, and other disciplines. Course content on Object-oriented Programming is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.‎

    The skills and experience you might need to already have before starting to learn object-oriented programming (OOP) could include knowing the basics of a variety of programming languages like C, C#, Java, Python, and PHP, for example. Having this background would aid you in learning object-oriented programming, which is used by developers to organize code into larger meaningful objects that model the parts of a problem. It would also help to have experience in understanding objects and classes, working with interfaces, and having the ability to manage single, multiple, and multilevel inheritances, which is the process used by software engineers to create class hierarchies, where classes and objects inherit properties and behaviors from their parent class. This is a common practice in object-oriented programming.‎

    The kind of people who are best suited for work that involves object-oriented programming are data engineers and web developers who have the skills to design, develop, and maintain object-oriented programming. These people have likely had success in using OOP to create an original code library for other OOP programmers to use on future projects. They may have also developed new business software and applications with OOP work, and helped to boost their team productivity by teaching OOP concepts to junior programmers. OOP is an important skill to leverage in a workplace, as it's considered the most popular programming paradigm, and has been a standard entry point for many programmers.‎

    You might know if learning object-oriented programming is right for you if you aspire to move ahead in a coding career. Learning the basics of OOP can put you on a path to becoming a PHP developer, full-stack developer, Android developer, and other software engineering roles. You may already have a technical-focused background, with knowledge of programming languages, and a curious nature that seeks to explore topics in web development work. This experience would help you in understanding OOP. If you understand data structures, know the use for a hash table, and want to learn how to design programs that can handle large amounts of data, then learning object-oriented programming might be a good fit for you moving ahead in your career.‎

    Online Object Oriented Programming (OOP) courses offer a convenient and flexible way to enhance your knowledge or learn new Object Oriented Programming (OOP) skills. Choose from a wide range of Object Oriented Programming (OOP) courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Object Oriented Programming (OOP), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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