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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

    • R

      Rice University

      An Introduction to Interactive Programming in Python (Part 2)

      Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, User Interface (UI), Program Development, Animations, Game Design, Programming Principles, Python Programming, Computer Programming, Data Structures, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Tensorflow, Mathematical Modeling, Machine Learning, Data Science

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      112 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      439 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Linux System Programming and Introduction to Buildroot

      Skills you'll gain: Embedded Systems, System Programming, Linux, Operating Systems, File Systems, Shell Script, Debugging, OS Process Management, Build Tools, C and C++, Cross Platform Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      132 reviews

      Advanced · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Introduction to Object-Oriented Programming with Java

      Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Computer Programming, Virtual Machines, Package and Software Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      506 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Power Electronics, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Computational Logic, Basic Electrical Systems, Applied Mathematics, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Deep Teaching Solutions

      Accelerate Your Learning with ChatGPT

      Skills you'll gain: Prompt Engineering, Creative Thinking, ChatGPT, Learning Strategies, Cognitive flexibility, Curiosity, Critical Thinking, Lifelong Learning, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      The Full Stack

      Skills you'll gain: Full-Stack Web Development, Front-End Web Development, Django (Web Framework), Scalability, Responsive Web Design, Web Applications, Back-End Web Development, MySQL, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Cloud Computing, Application Programming Interface (API), Virtual Environment, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      218 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      IA generativa en el aula

      Skills you'll gain: Generative AI, Prompt Engineering, ChatGPT, AI Personalization, Education Software and Technology, Large Language Modeling, Artificial Intelligence, Creativity, Data Ethics, Computer Vision, Information Privacy, Ethical Standards And Conduct, Intellectual Property

      4.9
      Rating, 4.9 out of 5 stars
      ·
      591 reviews

      Beginner · Course · 1 - 4 Weeks

    Computer learners also search

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    1…656667…449

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

    • An Introduction to Interactive Programming in Python (Part 2): Rice University
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Introduction to Big Data with Spark and Hadoop: IBM
    • Machine Learning: Clustering & Retrieval: University of Washington
    • Linux System Programming and Introduction to Buildroot: University of Colorado Boulder
    • Introduction to Object-Oriented Programming with Java: LearnQuest
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Equivalent Circuit Cell Model Simulation: University of Colorado Boulder
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Accelerate Your Learning with ChatGPT: Deep Teaching Solutions

    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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