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    Results for "computer science"

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Back-End Apps with Node.js and Express

      Skills you'll gain: Node.JS, Server Side, Restful API, Back-End Web Development, JavaScript Frameworks, Cloud Applications, Web Applications, Application Programming Interface (API), Web Servers, Javascript, Authentications, Package and Software Management, JSON, Middleware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      529 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      990 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Introduction to HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Neural Networks and PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Principles of Software Design

      Skills you'll gain: Object Oriented Programming (OOP), Java, Software Engineering, Computer Programming, Software Design, Predictive Modeling, Algorithms, Data Structures, Performance Testing, Debugging, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      459 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Bugs 101: Insect-Human Interactions

      Skills you'll gain: Social Studies, Anthropology, Environmental Resource Management, Environmental Science, Cultural Diversity, Biology, Microbiology, Public Health and Disease Prevention, Economics, Taxonomy, Criminal Investigation and Forensics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Android Mobile Application Development

      Skills you'll gain: Android Studio, Android Development, Android (Operating System), Mobile Development, Gradle, Application Development, Integrated Development Environments, Development Environment, Virtual Environment, Extensible Markup Language (XML), UI Components

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to computer science

    computer science: programming with a purpose
    computer science: algorithms, theory, and machines
    theoretical computer science
    introduction to computer science
    mathematics for computer science
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    1…727374…708

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

    • Developing Back-End Apps with Node.js and Express: IBM
    • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
    • Machine Learning Foundations for Product Managers: Duke University
    • Introduction to Applied Cryptography: University of Colorado System
    • Introduction to HTML: Coursera Project Network
    • Introduction to Neural Networks and PyTorch: IBM
    • Java Programming: Principles of Software Design: Duke University
    • MLOps | Machine Learning Operations: Duke University
    • Data Analysis and Interpretation: Wesleyan University
    • Statistical Inference: Johns Hopkins University

    Frequently Asked Questions about Computer Science

    Computer science courses on Coursera can equip you with a broad set of skills essential for technological careers:

    • Programming fundamentals in languages like Python, Java, and C++
    • Development of algorithms and data structures to solve complex problems
    • Knowledge of computer architecture and systems
    • Software engineering practices, including software development, testing, and maintenance
    • Cybersecurity principles to protect systems and data
    • Understanding of databases and data processing
    • Web development techniques for creating dynamic websites‎

    Computer science courses on Coursera are suitable for all levels:

    • Introductory courses require no prior experience and provide a foundation in the basics of computer science.
    • Intermediate courses are available for those with some foundational knowledge who seek to deepen their understanding.
    • Advanced courses cater to experienced professionals aiming to enhance specific skills or learn about the latest technological advancements.‎

    Coursera provides a range of credentials that demonstrate your expertise in computer science:

    • Professional certificates that help you prepare for industry-recognized certifications.
    • Specialized course certificates that focus on particular areas such as artificial intelligence or network security.
    • Advanced degrees from top universities in fields like computer science and information technology. ‎

    Acquiring skills in computer science through Coursera can lead to a variety of roles in the technology sector:

    • Software Developer, designing and building software solutions
    • Systems Analyst, optimizing and maintaining IT systems
    • Network Administrator, ensuring reliable network operations
    • Data Scientist, analyzing and interpreting complex datasets
    • Cybersecurity Analyst, protecting information systems from cyber threats‎
    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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