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    Results for "computer science"

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting Languages, Scripting, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231K reviews

      Beginner · Course · 1 - 3 Months

    • P

      Peking University

      计算机组成 Computer Organization

      Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Hardware, Peripheral Devices, Computer Engineering, Data Storage, Systems Architecture, Data Storage Technologies, Computational Logic

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Mixed · Course · 1 - 3 Months

    • N

      Nanyang Technological University, Singapore

      Introduction to Forensic Science

      Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Investigation, Biochemistry, Pharmacology, Laboratory Testing, Pathology, Microbiology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science

      Skills you'll gain: Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Data Science, Research Methodologies, Machine Learning, Data Collection, Computational Thinking, Economics, Policy, and Social Studies, Graph Theory, Agentic systems

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

      Beginner · Specialization · 3 - 6 Months

    • Y

      Yonsei University

      Introduction to TCP/IP

      Skills you'll gain: TCP/IP, Network Protocols, Network Routing, Network Security, General Networking, Intrusion Detection and Prevention, File Transfer Protocol (FTP), Dynamic Host Configuration Protocol (DHCP), Network Architecture, System Configuration, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Algorithms, Python Programming, Computer Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Stanford Introduction to Food and Health

      Skills you'll gain: Cooking, Nutrition and Diet, Preventative Care, Food and Beverage, Public Health and Disease Prevention, Behavioral Health, Clinical Nutrition, Chronic Diseases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      The Science of Gastronomy

      Skills you'll gain: Food and Beverage, Nutrition and Diet, Scientific Methods, Experimentation, Color Theory, Chemistry, Research Design, Psychology, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      777 reviews

      Beginner · Course · 1 - 3 Months

    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
    foundations of computer science
    accelerated computer science fundamentals
    mathematical thinking in computer science
    1…678…711

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

    • Foundations: Data, Data, Everywhere: Google
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • 计算机组成 Computer Organization: Peking University
    • Introduction to Forensic Science: Nanyang Technological University, Singapore
    • Introduction to Computer Vision and Image Processing: IBM
    • SQL for Data Science: University of California, Davis
    • Computer Architecture: Princeton University
    • Computational Social Science: University of California, Davis
    • Introduction to TCP/IP: Yonsei University
    • Mathematical Thinking in Computer Science: University of California San Diego

    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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