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    Programming Basics Courses Online

    Learn programming basics for building a foundation in coding. Understand syntax, data structures, and algorithms in various programming languages.

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    Explore the Programming Basics Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Software Design, Kanban Principles, Scrum (Software Development), Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Software Development Methodologies, Network Troubleshooting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, OpenAI, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, AI Personalization, Document Management, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      AWS S3 Basics

      Skills you'll gain: Amazon S3, Amazon Web Services, Cloud Hosting, Cloud Storage, Version Control, Encryption, Data Storage, Data Encryption Standard

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Sample Size Determination, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM iOS and Android Mobile App Developer

      Skills you'll gain: React Native, Prompt Engineering, HTML and CSS, iOS Development, Software Development Life Cycle, Flutter (Software), Software Architecture, Swift Programming, Apple Xcode, Mobile Development, Android Studio, User Centered Design, Android Development, Apple iOS, React Redux, Git (Version Control System), GitHub, Mobile Development Tools, React.js, AI Personalization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.2K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      IBM

      Generative AI for Java and Spring Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Restful API, Spring Framework, Data Ethics, Natural Language Processing, OpenAI, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Application Programming Interface (API), Java

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business and Financial Modeling

      Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Data Modeling, Spreadsheet Software, Google Sheets

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta React Native

      Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface and User Experience (UI/UX) Design, User Interface (UI), User Experience, Mobile Development, Design Research, React.js, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Software Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Code Review, Program Development, Software Architecture, Content Creation, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Large Language Modeling, Data Ethics, Artificial Intelligence, Program Development, Data Visualization Software, SQL, Python Programming, Query Languages, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      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, Statistical Machine Learning, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Advanced · Professional Certificate · 3 - 6 Months

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

    • IBM IT Scrum Master: IBM
    • AI Agent Developer: Vanderbilt University
    • AWS S3 Basics: Coursera Project Network
    • Process Data from Dirty to Clean: Google
    • IBM iOS and Android Mobile App Developer: IBM
    • Generative AI for Java and Spring Developers: IBM
    • Data Structures and Algorithms: University of California San Diego
    • Business and Financial Modeling: University of Pennsylvania
    • Meta React Native: Meta
    • Generative AI for Software Developers: IBM

    Frequently Asked Questions about Programming Basics

    Programming Basics refers to the fundamental concepts and principles of computer programming. It is often the starting point for individuals who are interested in learning how to code. Programming Basics covers topics such as algorithms, variables, data types, control structures (e.g., loops and conditionals), and functions. By understanding these fundamental concepts, learners can gain a solid foundation in programming, which can then be applied to more advanced programming languages and concepts.‎

    To get started with Programming Basics, there are several essential skills you should focus on learning:

    1. Logic and Problem-Solving: Programming requires a logical approach to solving problems. Develop your ability to break down complex problems into smaller, manageable parts and think systematically.

    2. Programming Language Knowledge: Familiarize yourself with popular programming languages like Python, Java, or C++. Start with a beginner-friendly language like Python, as it is easier to grasp the fundamental concepts of programming.

    3. Algorithms and Data Structures: Understanding fundamental data structures like arrays, linked lists, stacks, queues, and trees is crucial. Similarly, learn various algorithms like sorting, searching, and traversing data efficiently.

    4. Basic Math Concepts: Proficiency in basic mathematical concepts, such as arithmetic operations, variables, equations, and formulas, is necessary for programming.

    5. Debugging and Troubleshooting: Learn how to identify and fix errors (or bugs) in your code. Debugging involves systematically locating and correcting faults in your program.

    6. Version Control Systems: Familiarize yourself with version control systems like Git, which helps track changes made to your codebase and makes collaboration easier.

    7. Basic Web Technologies: Understanding HTML, CSS, and JavaScript is essential for web development. These technologies help create visually appealing and interactive websites.

    8. Soft Skills: While not directly related to programming, developing excellent communication, teamwork, and time management skills is vital when working in a professional programming environment.

    Remember, learning programming is a continuous process, so practice regularly, work on coding projects, and keep updated with the latest programming concepts and trends.‎

    There are various job opportunities available for individuals with Programming Basics skills. Some of the common roles include:

    1. Junior Web Developer: With Programming Basics skills, you can kickstart your career as a web developer and work on creating and maintaining websites using programming languages like HTML, CSS, and JavaScript.

    2. Software Tester: As a software tester, you can use your knowledge of Programming Basics to write and execute test cases, ensuring the quality and functionality of software applications and systems.

    3. Technical Support Analyst: Programming Basics skills can be useful in troubleshooting and resolving technical issues faced by users. As a technical support analyst, you can assist customers or colleagues with software-related problems and provide solutions.

    4. Data Analyst: Basic programming skills can be valuable for data analysts as it enables them to manipulate, clean, and analyze data using programming languages like Python or R. You can work with data sets, perform statistical analysis, and derive meaningful insights.

    5. App or Game Developer: With a solid foundation in Programming Basics, you can venture into mobile app or game development. You can contribute to creating interactive experiences by coding functionalities and features for apps or games.

    6. Technical Writer: Programming Basics skills can be beneficial in technical writing roles. You can create documentation, tutorials, or guides that help users understand complex technical concepts or programming languages.

    7. IT Support Specialist: In this role, you can provide support to users, troubleshoot hardware or software issues, and maintain computer systems within an organization. Programming Basics skills can assist in understanding and resolving technical problems effectively.

    8. Junior Data Scientist: Programming Basics skills are considered essential in the field of data science. With these skills, you can analyze and model data, build predictive models, and derive insights for businesses.

    These are just a few examples, and the job opportunities may vary depending on your additional skills and interests. It's always beneficial to continue learning and expanding your programming knowledge to increase your career prospects.‎

    People who are logical thinkers, problem solvers, and have an interest in technology are best suited for studying Programming Basics. Additionally, individuals who are detail-oriented, patient, and enjoy working with computers may also find programming to be a good fit for them.‎

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

    1. Introduction to Programming: Learn the fundamental concepts and principles of programming, including variables, data types, control structures, and more.

    2. Algorithms and Problem Solving: Understand how to solve problems efficiently using algorithms and methods of problem-solving.

    3. Programming Languages: Explore different programming languages like Python, Java, C++, or JavaScript and learn their syntax and basic functionality.

    4. Data Structures: Dive into the various data structures such as arrays, linked lists, stacks, queues, and trees, and learn how to manipulate and access data effectively.

    5. Object-Oriented Programming (OOP): Understand the principles of OOP and its concepts like classes, objects, inheritance, and polymorphism.

    6. Debugging and Testing: Learn techniques to identify and fix common errors in programming code and test your programs for functionality and reliability.

    7. Basic Web Development: Get acquainted with HTML, CSS, and JavaScript to build web pages and understand the basics of front-end development.

    8. Introduction to Databases: Get introduced to databases, learn how to design and query them using SQL, and understand how they are used in programming.

    9. Version Control: Learn about version control systems like Git, which helps manage and track changes in your codebase, enabling collaboration and preserving project history.

    10. Software Development Life Cycle (SDLC): Understand the different phases of software development, from requirement gathering and analysis to maintenance.

    Remember to further explore each topic to gain a comprehensive understanding of Programming Basics and apply your knowledge to practical projects.‎

    Online Programming Basics courses offer a convenient and flexible way to enhance your knowledge or learn new Programming Basics refers to the fundamental concepts and principles of computer programming. It is often the starting point for individuals who are interested in learning how to code. Programming Basics covers topics such as algorithms, variables, data types, control structures (e.g., loops and conditionals), and functions. By understanding these fundamental concepts, learners can gain a solid foundation in programming, which can then be applied to more advanced programming languages and concepts. skills. Choose from a wide range of Programming Basics courses offered by top universities and industry leaders tailored to various skill levels.‎

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