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    Computer Courses Online

    Explore computer fundamentals for understanding hardware and software. Learn about computer architecture, operating systems, and software applications.

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    Explore the Computer Course Catalog

    • Status: Free
      Free
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Classification And Regression Tree (CART), Machine Learning, Supervised Learning, Computer Science, Unsupervised Learning, Algorithms, Network Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Essential Cloud Infrastructure: Core Services 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Cloud Computing, Data Storage, Cloud Services, Cloud Computing Architecture, Cloud Management, Cloud Storage, Key Management, Security Management, System Monitoring, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Networking Fundamentals

      Skills you'll gain: OSI Models, Computer Networking, Virtualization, Data Centers, General Networking, Network Architecture, Networking Hardware, Network Protocols, TCP/IP, Virtual Local Area Network (VLAN), Network Infrastructure, Local Area Networks, Network Model, Cloud Computing

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      R Programming for Statistics and Data Science

      Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Virtualization, Docker, and Kubernetes for Data Engineering

      Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Devops Tools, Microservices, Development Environment, Software Development Tools, Application Deployment, Virtual Machines, Software Development, Cloud Development, Database Management, GitHub, Scalability

      3.9
      Rating, 3.9 out of 5 stars
      ·
      39 reviews

      Advanced · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Designing Hardware for Raspberry Pi Projects

      Skills you'll gain: Hardware Design, Electronic Hardware, Schematic Diagrams, Computer-Aided Design, Mechanical Design, Electrical Engineering, 3D Modeling, Electronics, Simulation and Simulation Software, Technical Design, Verification And Validation, Open Source Technology

      5
      Rating, 5 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Explainable AI: Scene Classification and GradCam Visualization

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Artificial Neural Networks, Data Processing, Interactive Data Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California San Diego

      Capstone: Analyzing (Social) Network Data

      Skills you'll gain: Network Analysis, Graph Theory, Technical Communication, Data Structures, Social Sciences, Analytical Skills, Algorithms, Analysis, Computer Science, Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      99 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Robotic Path Planning and Task Execution

      Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Graph Theory, Algorithms, Control Systems, Computer Science, Data Structures, Programming Principles

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Introducción al desarrollo de aplicaciones móviles para iOS

      Skills you'll gain: Apple iOS, Apple Xcode, Swift Programming, Mobile Development, Objective-C (Programming Language), User Interface (UI), Development Environment, Simulations, Storyboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: Sampling (Statistics), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Statistical Software, Statistics, Data Analysis, Statistical Analysis, Probability, Statistical Visualization, Data Manipulation, Histogram

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Architecting with Google Kubernetes Engine: Workloads en Español

      Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Application Deployment, Containerization, Load Balancing, Cloud Storage, Authorization (Computing), Data Storage, YAML, Authentications, General Networking, Scalability, Configuration Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    Computer learners also search

    Computer Programming
    C
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    1…211212213…449

    In summary, here are 10 of our most popular computer courses

    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Essential Cloud Infrastructure: Core Services 日本語版: Google Cloud
    • Networking Fundamentals: Packt
    • R Programming for Statistics and Data Science: Packt
    • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
    • Designing Hardware for Raspberry Pi Projects: Johns Hopkins University
    • Explainable AI: Scene Classification and GradCam Visualization : Coursera Project Network
    • Capstone: Analyzing (Social) Network Data: University of California San Diego
    • Robotic Path Planning and Task Execution: University of Colorado Boulder
    • Introducción al desarrollo de aplicaciones móviles para iOS: Meta

    Frequently Asked Questions about Computer

    Whether for academic purposes, career advancement, or personal interest, understanding why you want to learn computing can focus your studies. Regular practice with coding, operating systems, and software applications is essential. Join online forums like Stack Overflow or local coding clubs for support and knowledge sharing. Work on real projects such as developing small apps or managing databases. Introduction to Computer Science and Programming by University of London is an excellent course to start with.‎

    Computer courses on Coursera cover a wide array of practical skills applicable to various technology-related tasks and professions:

    • Basic computer literacy, including understanding hardware and software components.
    • Operating systems usage, focusing on Windows, macOS, and Linux.
    • Office productivity tools such as Microsoft Office and Google Suite.
    • Internet skills, including using web browsers, email, and cloud services.
    • Data entry and basic data management.
    • Digital communication and online collaboration tools.
    • Basic troubleshooting and maintenance of personal computers.‎

    Computer courses on Coursera are designed to accommodate learners at all skill levels:

    • Absolute beginners who need foundational skills such as using a computer or navigating the internet.
    • Intermediate users can learn more about software applications, data management, and online security.
    • More experienced users can refine their skills in specific software tools or learn advanced maintenance and troubleshooting techniques.

    These courses provide step-by-step instructions to ensure everyone can follow along and build confidence in their computer skills. ‎

    Participants in Computer courses on Coursera can earn several credentials that enhance their professional profiles:

    • Certificates of completion for individual courses, which can be shared on social platforms like LinkedIn.
    • Professional certificates that help verify your proficiency in specific tools or software.
    • Continued learning paths that may include bundled courses leading to comprehensive skill development in computer technology.

    These credentials are useful for demonstrating your technical skills to employers or for personal development.‎

    Gaining proficiency in computer skills through Coursera can open up a variety of career opportunities in virtually every industry:

    • Administrative roles, which often require proficiency in word processing, spreadsheets, and data management.
    • Support specialist positions, providing helpdesk or technical support.
    • Entry-level IT roles, such as computer technician or network administrator assistants.
    • Roles in digital marketing that utilize various online tools and platforms.
    • Freelance opportunities for data entry, virtual assistance, or computer maintenance services.

    These skills are fundamental and widely applicable across job markets, enhancing employability and career flexibility. ‎

    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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