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    Results for "computer science"

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Visualization Software, Sampling (Statistics), Data Presentation, Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Professional Networking, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Advanced Analytics, Object Oriented Programming (OOP), Data Analysis, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Analysis Software, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Introduction to Computers

      Skills you'll gain: Business Software, Computer Hardware, Hardware Architecture, Generative AI, Operating Systems, Data Storage Technologies, Data Loss Prevention, Computer Systems, Enterprise Security, Information Technology, OS Process Management, System Configuration, Microsoft Windows, Technical Support, Servers, Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      714 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      213 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Leeds

      An Introduction to Logic for Computer Science

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Computer Hardware and Software

      Skills you'll gain: Network Security, Computer Hardware, Hardware Architecture, TCP/IP, Information Technology, System Software, General Networking, Network Protocols, Operating Systems, Computer Networking, Software Systems, File Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      Free
      Y

      Yale University

      The Science of Well-Being

      Skills you'll gain: Personal Development, Positive Behavior Support, Goal Setting, Resilience, Self-Awareness, Behavioral Economics, Adaptability, Mental Health, Productivity, Psychology, Social Skills, Mindfulness

      4.9
      Rating, 4.9 out of 5 stars
      ·
      39K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Introductory C Programming

      Skills you'll gain: Debugging, Maintainability, Programming Principles, Algorithms, Software Testing, Program Development, C (Programming Language), Pseudocode, Computational Thinking, Software Engineering, Simulations, System Programming, Data Structures, Software Development, Computer Programming, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 3 - 6 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
    accelerated computer science fundamentals
    foundations of computer science
    mathematical thinking in computer science
    1…456…704

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

    • Google Advanced Data Analytics: Google
    • Introduction to Data Science: IBM
    • Introduction to Computers: Microsoft
    • Data Science: Johns Hopkins University
    • AI For Everyone: DeepLearning.AI
    • Genomic Data Science: Johns Hopkins University
    • First Principles of Computer Vision: Columbia University
    • An Introduction to Logic for Computer Science: University of Leeds
    • Computer Hardware and Software: University of California, Irvine
    • Introduction to Computer Vision and Image Processing: IBM

    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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