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    Results for "programming principles"

    • Status: New
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      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Productivity, Java, Agentic systems, OpenAI, Generative AI, Artificial Intelligence, Large Language Modeling, Software Design, Creative Thinking, Ingenuity, Brainstorming, Software Architecture, Software Development Tools, Secure Coding, Application Development, Business Logic, Systems Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
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      M

      Meta

      Meta Android Developer

      Skills you'll gain: React Native, Android Studio, Restful API, Version Control, UI/UX Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface and User Experience (UI/UX) Design, User Interface (UI), Mobile Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
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      Free Trial
      V

      Vanderbilt University

      Generative AI SQL Database Specialist with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Database Design, Productivity, Data Migration, Generative AI, Software Documentation, SQL, Dashboard, Artificial Intelligence, Database Management, Data Visualization, Large Language Modeling, Gap Analysis, Database Architecture and Administration, Technical Design, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS Developer

      Skills you'll gain: React Native, iOS Development, Core Data (Software), Restful API, Version Control, Apple iOS, UI/UX Research, Usability Testing, Apple Xcode, Data Structures, Swift Programming, Jest (JavaScript Testing Framework), User Interface (UI), Unix Commands, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, Mobile Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
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      8.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
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      U

      University of Michigan

      Web Design for Everybody: Basics of Web Development & Coding

      Skills you'll gain: Wireframing, Responsive Web Design, HTML and CSS, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Web Design, Hypertext Markup Language (HTML), Browser Compatibility, Bootstrap (Front-End Framework), Javascript, Front-End Web Development, User Interface (UI), Web Development Tools, Verification And Validation, Interactive Design, Application Frameworks, Code Review, Web Design and Development, Event-Driven Programming, Usability

      4.7
      Rating, 4.7 out of 5 stars
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      35K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
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      G

      Google

      Analyze Data to Answer Questions

      Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Product Management

      Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Innovation, Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Python to Access Web Data

      Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Access, TCP/IP, Python Programming, Hypertext Markup Language (HTML), Data Capture, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      An Introduction to Programming the Internet of Things (IOT)

      Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Functional Requirement, Debugging, General Networking, Systems Design, Hardware Design, Operating Systems, Requirements Analysis, Electronic Hardware, System Design and Implementation, C (Programming Language), Basic Electrical Systems, Application Programming Interface (API), TCP/IP, Wireless Networks, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Other Programming Languages, Version Control, Query Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Human Resource Management: HR for People Managers

      Skills you'll gain: Performance Management, Performance Appraisal, Employee Performance Management, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Recruitment Strategies, Human Capital, Compensation Analysis, Talent Acquisition, Human Resources Management and Planning, People Management, Job Analysis, Payroll

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 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…131415…400

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

    • AI Agents in Java with Generative AI: Vanderbilt University
    • Data Analysis with R: IBM
    • Meta Android Developer: Meta
    • Generative AI SQL Database Specialist with ChatGPT: Vanderbilt University
    • Meta iOS Developer: Meta
    • Web Design for Everybody: Basics of Web Development & Coding: University of Michigan
    • Analyze Data to Answer Questions: Google
    • Digital Product Management: University of Virginia
    • Using Python to Access Web Data: University of Michigan
    • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine

    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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