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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

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Applied Machine Learning, Cloud Services, Database Management, Natural Language Processing, JSON, Data Mining, Qualitative Research, Statistical Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Español

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Manipulation, Data Cleansing, Data Analysis Expressions (DAX), Big Data, Google Cloud Platform, Prompt Engineering, Artificial Intelligence, Generative AI, Query Languages, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Advanced Data Applications and Integration

      Skills you'll gain:

      Beginner · Course

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 简体中文

      Skills you'll gain: Applied Machine Learning, Big Data, Business Intelligence, Generative AI, Customer Relationship Management, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), SQL, Prompt Engineering, Data Analysis, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 简体中文

      Skills you'll gain: Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Cleansing, Interactive Data Visualization, Data Transformation, Data Analysis, Generative AI, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Français

      Skills you'll gain: Data Processing, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Big Data, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Debugging, Query Languages, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      CQRS, API Development, and Module Communication

      Skills you'll gain: Restful API, Redis, .NET Framework, Application Programming Interface (API), Software Design Patterns, Scalability, PostgreSQL, Software Architecture, Middleware, Maintainability, Database Development, Data Validation, Debugging

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Workspace Security - Français

      Skills you'll gain: Single Sign-On (SSO), Lightweight Directory Access Protocols, Google Workspace, Application Security, Cloud Security, Security Management, Application Programming Interface (API), Authentications, Threat Detection, Identity and Access Management, Multi-Factor Authentication, User Accounts

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Modernizing Data Lakes & Data Warehouses with GCP - 한국어

      Skills you'll gain: Google Cloud Platform, Data Lakes, Data Warehousing, Cloud Engineering, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Pipelines, Data Architecture, Big Data, Business Intelligence, SQL, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Big Data, Predictive Modeling, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Statistical Inference, Statistical Hypothesis Testing, Service Level, Statistical Machine Learning, Performance Testing, Dimensionality Reduction, Probability, Applied Machine Learning, Probability & Statistics, Data Warehousing, Regression Analysis, Software Engineering, Bash (Scripting Language), Data Science

      Credit offered

      Graduate Certificate · 6 - 12 Months

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

    • Master of Applied Data Science: University of Michigan
    • Boost Productivity with Gemini in BigQuery - Español: Google Cloud
    • Advanced Data Applications and Integration: Microsoft
    • Work with Gemini Models in BigQuery - 简体中文: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 简体中文: Google Cloud
    • Boost Productivity with Gemini in BigQuery - Français: Google Cloud
    • CQRS, API Development, and Module Communication: Packt
    • Google Workspace Security - Français: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
    • Modernizing Data Lakes & Data Warehouses with GCP - 한국어: Google Cloud

    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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