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    Results for "programming principles"

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Plotting, Charting & Data Representation in Python

      Skills you'll gain: Matplotlib, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      PwC

      Data Visualization with Advanced Excel

      Skills you'll gain: Data Presentation, Dashboard, Data Storytelling, Data Visualization Software, Microsoft Excel, Spreadsheet Software, Excel Formulas, Graphing, Pivot Tables And Charts, Data Modeling, Databases, Data Analysis, Simulation and Simulation Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundational Finance for Strategic Decision Making

      Skills you'll gain: Market Data, Loans, Finance, Microsoft Excel, General Finance, Corporate Finance, Mortgage Loans, Financial Analysis, Equities, Investments, Financial Market, Business Valuation, Investment Management, Capital Budgeting, Capital Markets, Financial Forecasting, Financial Modeling, Business Mathematics, Financial Planning, Cash Flows

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Adobe

      Design Fundamentals with AI

      Skills you'll gain: Color Theory, Typography, Design, Graphic and Visual Design Software, Graphic and Visual Design, Design Elements And Principles, Web Content Accessibility Guidelines, Logo Design, Content Creation, Adobe Creative Cloud, Innovation, User Experience Design, Creativity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      669 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Theory, Database Management Systems, Data Modeling, JSON, Scalability, Database Management, Query Languages, Cloud Applications, Data Manipulation, Text Mining, Databases, Data Integrity, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS UI Development

      Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Development Testing, Software Testing, Object Oriented Programming (OOP), Software Design Patterns, Integrated Development Environments, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K 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…333435…403

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

    • Applied Plotting, Charting & Data Representation in Python: University of Michigan
    • Data Visualization with Advanced Excel: PwC
    • Exploratory Data Analysis for Machine Learning: IBM
    • Foundational Finance for Strategic Decision Making: University of Michigan
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Design Fundamentals with AI: Adobe
    • PostgreSQL for Everybody: University of Michigan
    • Meta iOS UI Development: Meta
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Machine Learning for Trading: New York Institute of Finance

    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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