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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: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • L

      LearnQuest

      Core Java

      Skills you'll gain: Java Programming, Spring Framework, Java, Eclipse (Software), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Java Platform Enterprise Edition (J2EE), Software Design, Software Installation, Computer Programming, Programming Principles, Program Development, Virtual Machines, Debugging, Package and Software Management, Data Structures, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Mathematical Software, Engineering Calculations, Data Analysis, Data Processing, Engineering Analysis, Computer Programming, Programming Principles, UI Components, Software Design, Debugging

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

      Beginner · Specialization · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics), R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      167K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Tidyverse (R Package), Data Visualization Software, Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Data Transformation, Integrated Development Environments, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      C Programming for Everybody

      Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Debugging

      4.5
      Rating, 4.5 out of 5 stars
      ·
      157 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Scripting, Python Programming, Computer Programming, Computational Thinking, Algorithms, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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
      ·
      563 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    Object Oriented Programming learners also search

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

    • IBM Data Analyst: IBM
    • Core Java: LearnQuest
    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • Google Data Analytics: Google
    • Learn to Program: The Fundamentals: University of Toronto
    • Data Analysis with R Programming: Google
    • C Programming for Everybody: University of Michigan
    • Crash Course on Python: Google
    • Data Science: Foundations using R: Johns Hopkins University
    • Deep Learning: DeepLearning.AI

    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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