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    Results for "programming principles"

    • Status: Free Trial
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      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Advanced Analytics, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills

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      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.2K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Prompt Engineering, HTML and CSS, Cloud-Native Computing, Software Development Life Cycle, Software Architecture, Hibernate (Java), Database Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Software Design, Microservices, Object Oriented Programming (OOP), Large Language Modeling, Spring Boot, Object-Relational Mapping, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
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      5.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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      Free Trial
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      Rice University

      Principles of Economics: Macroeconomics - The Big Picture

      Skills you'll gain: Economics, Supply And Demand, Economic Development, Financial Policy, Market Dynamics, Business Economics, Business Metrics, Public Policies, Performance Metric, International Finance, Fiscal Management, Investments, Labor Relations, Financial Market

      4.8
      Rating, 4.8 out of 5 stars
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      51 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • S

      Stanford University

      Writing in the Sciences

      Skills you'll gain: Grant Writing, Peer Review, Technical Writing, Technical Communication, Writing, Scientific Methods, Journals, Editing, Research, Media and Communications, Ethical Standards And Conduct

      4.9
      Rating, 4.9 out of 5 stars
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      9.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
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      V

      Vanderbilt University

      AI Agents and Agentic AI in Python: Powered by Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, OpenAI, Productivity, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Software Development Tools, Application Development, Prototyping, Persona (User Experience), Business Logic, Automation

      4.8
      Rating, 4.8 out of 5 stars
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      6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI Data Analyst

      Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Data Synthesis, Microsoft Excel, Productivity, Infographics, Document Management, SQL, Generative AI, Artificial Intelligence, Data Visualization, Data Cleansing, Large Language Modeling, Data Import/Export, Statistical Reporting, Data Integration, Data Transformation, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Agile Project Management

      Skills you'll gain: Agile Project Management, Backlogs, Agile Software Development, Agile Methodology, User Story, Sprint Planning, Scaled Agile Framework, Product Roadmaps, Sprint Retrospectives, Employee Coaching, Kanban Principles, Team Management, Waterfall Methodology, Prioritization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      14K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cloud Application Development Foundations

      Skills you'll gain: Node.JS, Cloud Computing Architecture, Server Side, Cloud-Native Computing, React Redux, Cloud Services, NoSQL, MongoDB, React.js, Agile Methodology, Front-End Web Development, JavaScript Frameworks, Cloud Security, Cloud Technologies, Hypertext Markup Language (HTML), HTML and CSS, Restful API, Web Development, Web Development Tools, Back-End Web Development

      4.6
      Rating, 4.6 out of 5 stars
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      9.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Back-End Developer

      Skills you'll gain: Django (Web Framework), Full-Stack Web Development, Version Control, Restful API, Data Structures, Unix Commands, Bootstrap (Front-End Framework), Git (Version Control System), Back-End Web Development, GitHub, Web Design and Development, Relational Databases, Front-End Web Development, Object Oriented Programming (OOP), Database Management Systems, SQL, Database Design, Unit Testing, Algorithms, Web Development

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      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Intuit

      Intuit Academy Bookkeeping

      Skills you'll gain: Reconciliation, Financial Statements, Financial Statement Analysis, Inventory Accounting, Payroll, Bookkeeping, QuickBooks (Accounting Software), Payroll Administration, Inventory Control, Payroll Processing, Income Statement, Balance Sheet, Depreciation, Fixed Asset, Payroll Tax, Property Accounting, Financial Analysis, Sales Tax, Ledgers (Accounting), Accounting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      A

      Amazon

      Amazon Junior Software Developer

      Skills you'll gain: Git (Version Control System), Software Development Methodologies, JUnit, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, SQL, Full-Stack Web Development, Test Driven Development (TDD), Systems Development, Software Development, Restful API, Object Oriented Programming (OOP), Object Oriented Design, Database Management, MySQL, Digital Transformation, Relational Databases, Generative AI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      272 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to programming principles

    functional programming principles in scala
    java programming: principles of software design
    functional programming principles in scala (scala 2 version)
    programming for python data science: principles to practice
    1…121314…400

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

    • Google Advanced Data Analytics: Google
    • IBM Java Developer: IBM
    • Principles of Economics: Macroeconomics - The Big Picture: Rice University
    • Applied Data Science with Python: University of Michigan
    • Writing in the Sciences: Stanford University
    • AI Agents and Agentic AI in Python: Powered by Generative AI: Vanderbilt University
    • Generative AI Data Analyst: Vanderbilt University
    • Agile Project Management: Google
    • Cloud Application Development Foundations: IBM
    • Meta Back-End Developer: Meta

    Frequently Asked Questions about Programming Principles

    Programming Principles refers to a set of fundamental concepts and guidelines that govern the process of writing computer programs. These principles guide developers in designing, implementing, and maintaining robust and efficient software systems. They help programmers write code that is easy to read, understand, and modify, enabling collaboration among team members and improving overall software quality. Some key programming principles include abstraction, encapsulation, modularity, efficiency, reusability, and maintainability.‎

    For Programming Principles, there are several key skills that you need to learn:

    1. Logic and Problem Solving: Programming Principles involves understanding how to break down complex problems into smaller, manageable steps. Develop your logical thinking and problem-solving skills to effectively design algorithms and solve programming challenges.

    2. Programming Languages: Familiarize yourself with programming languages such as Python, Java, C++, or JavaScript. These languages are commonly used for teaching programming principles and concepts. Start with one language and gain proficiency before moving on to others.

    3. Data Structures and Algorithms: Learn about various data structures such as arrays, linked lists, stacks, queues, trees, and graphs. Additionally, grasp the fundamentals of algorithms, including sorting, searching, and algorithm analysis.

    4. Object-Oriented Programming (OOP): Understand the concepts of encapsulation, inheritance, and polymorphism, which are pillars of object-oriented programming. Familiarize yourself with classes, objects, methods, and inheritance hierarchies.

    5. Debugging and Problem Analysis: Learning to identify and fix errors in your code is crucial. Develop effective debugging techniques, analyze error messages, and learn to use debugging tools to resolve programming problems.

    6. Version Control Systems: Gain knowledge about version control systems like Git, which allows for efficient code collaboration, tracking changes, and resolving conflicts when working in teams.

    7. Software Development Life Cycle (SDLC): Comprehend the stages involved in software development, including requirements gathering, design, implementation, testing, deployment, and maintenance. Understanding the SDLC helps create reliable and efficient software applications.

    8. Critical Thinking and Creativity: Programming Principles often require creativity and critical thinking to design innovative solutions. Enhance your ability to think outside the box, explore different approaches, and find elegant solutions to complex problems.

    Remember, mastering Programming Principles is a continuous process, and consistent practice and hands-on experience are essential for deepening your understanding.‎

    With Programming Principles skills, you can pursue various job opportunities in the field of software development and programming. Some of the job roles you can consider are:

    1. Software Developer: As a software developer, you can design, develop, test, and maintain software applications using Programming Principles. You can work on front-end development (user interface), back-end development (server-side programming), or full-stack development.

    2. Web Developer: With Programming Principles knowledge, you can specialize in web development and create websites and web applications. You can build interactive and responsive websites using programming languages like HTML, CSS, JavaScript, and frameworks like React or Angular.

    3. Mobile App Developer: Mobile app development requires programming skills, and with Programming Principles, you can develop applications for mobile platforms like Android or iOS. You will need to learn programming languages like Java, Kotlin, Swift, or Objective-C.

    4. Data Analyst: Programming Principles are crucial for data analysis and processing. With these skills, you can manipulate and analyze data using programming languages like Python or R, and tools like SQL or Excel. You can work with large datasets, derive insights, and present data-driven recommendations.

    5. Systems Analyst: Systems analysts bridge the gap between technical teams and business needs. With Programming Principles, you can analyze and evaluate existing computer systems, propose improvements, and design new systems to meet organizational requirements.

    6. Quality Assurance Analyst: As a quality assurance analyst, you can ensure software products meet quality standards and are free from bugs or issues. Programming Principles help in creating automated test scripts, performing testing, and identifying software defects.

    7. Cybersecurity Analyst: With Programming Principles, you can focus on the security aspect of software development. You can analyze systems for potential vulnerabilities, develop secure code practices, and implement measures to protect against cyber threats.

    8. Game Developer: Programming Principles are essential in game development. With these skills, you can create interactive games using programming languages like C++, Java, or Python. You can work on game mechanics, graphics programming, or artificial intelligence components.

    These are just a few examples of jobs you can pursue with Programming Principles skills. The demand for programming knowledge is prevalent across various industries, making it a versatile skill set with numerous career opportunities.‎

    People who are logical thinkers, problem solvers, and have a strong attention to detail are best suited for studying Programming Principles. Additionally, individuals who enjoy working with computers, have a passion for technology, and are willing to continuously learn and adapt to new programming languages and concepts will excel in this field.‎

    Here are some topics that you can study related to Programming Principles:

    1. Introduction to Programming: This topic provides a comprehensive understanding of the basic concepts and principles of programming, including variables, data types, control structures, and algorithms.

    2. Object-Oriented Programming (OOP): OOP focuses on organizing data and code into reusable objects, enabling the creation of complex software systems. Topics in OOP include classes, inheritance, polymorphism, and encapsulation.

    3. Data Structures and Algorithms: This topic explores various data structures (e.g., arrays, linked lists, stacks, queues, trees) and algorithms (e.g., sorting, searching, graph algorithms) used in programming to efficiently store and manipulate data.

    4. Software Engineering: Software engineering principles help in designing, developing, and maintaining large-scale software projects. This topic covers software development methodologies, project management, software testing, and quality assurance.

    5. Web Development: Understanding web technologies such as HTML, CSS, and JavaScript is essential for building interactive websites and web applications. Topics in web development include front-end and back-end development, web frameworks, and web security.

    6. Database Management: Database management is crucial for storing, retrieving, and managing large amounts of data. Studying topics like SQL (Structured Query Language), relational database design, and database management systems will enhance your programming skills.

    7. Operating Systems: Operating systems form the backbone of any computer system. Learning about topics such as process management, memory management, file systems, and networking will provide a deeper understanding of how programs interact with the underlying hardware.

    8. Mobile App Development: With the increasing popularity of smartphones, mobile app development is in high demand. Topics in mobile app development include iOS and Android app development, user interface design, and mobile app deployment.

    9. Cybersecurity: As technologies advance, the need for cybersecurity knowledge becomes crucial. Topics in cybersecurity cover network security, cryptography, ethical hacking, and secure coding practices.

    10. Artificial Intelligence and Machine Learning: AI and ML are rapidly evolving fields with immense potential. Studying these topics will introduce you to concepts like machine learning algorithms, neural networks, natural language processing, and computer vision.

    Remember, these are just a few examples of the many topics you can explore when studying programming principles. It's recommended to start with the basic programming concepts and gradually dive deeper into more advanced topics based on your interests and career goals.‎

    Online Programming Principles courses offer a convenient and flexible way to enhance your knowledge or learn new Programming Principles refers to a set of fundamental concepts and guidelines that govern the process of writing computer programs. These principles guide developers in designing, implementing, and maintaining robust and efficient software systems. They help programmers write code that is easy to read, understand, and modify, enabling collaboration among team members and improving overall software quality. Some key programming principles include abstraction, encapsulation, modularity, efficiency, reusability, and maintainability. skills. Choose from a wide range of Programming Principles courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Programming Principles, 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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