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    Results for "computer science"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Big Data, Git (Version Control System), Data Integration, Knitr, Data Analysis, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Rmarkdown, Interactive Data Visualization, Interviewing Skills, Data Cleansing, Data Validation, Professional Networking, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, Dashboard, Sampling (Statistics)

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      MathWorks Computer Vision Engineer

      Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Data Visualization, Automation, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Spatial Data Analysis, Predictive Modeling, Visualization (Computer Graphics), Data Synthesis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      303 reviews

      Beginner · Professional Certificate · 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

    • Status: Free Trial
      Free Trial
      I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      76K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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
      ·
      215 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Python Programming, Probability & Statistics, Data Structures, Predictive Modeling, Big Data, Data Visualization Software, Data Collection, Data Science, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Linux Commands, Kubernetes, Application Deployment, NoSQL, Bash (Scripting Language), MongoDB, Shell Script, Software Architecture, Django (Web Framework), Development Environment, Cloud-Native Computing, Object-Relational Mapping, OpenShift, Git (Version Control System), Flask (Web Framework), Jupyter, Grafana

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Web Content Accessibility Guidelines, Cross Platform Development, Prototyping, Wireframing, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Data Literacy, Data Mining, Artificial Intelligence, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, ChatGPT, Deep Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Bash (Scripting Language), Shell Script, Software Architecture, Development Environment, Git (Version Control System), GitHub, Flask (Web Framework), Unit Testing, Version Control, File Management, Engineering Software, Jupyter, Application Development, Application Deployment, Python Programming, Data Structures, Collaborative Software, Web Scraping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K 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
    foundations of computer science
    accelerated computer science fundamentals
    mathematical thinking in computer science
    1…456…340

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

    • Data Science: Foundations using R: Johns Hopkins University
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Google Data Analytics: Google
    • MathWorks Computer Vision Engineer: MathWorks
    • AI For Everyone: DeepLearning.AI
    • What is Data Science? : IBM
    • First Principles of Computer Vision: Columbia University
    • Data Science Foundations: IBM
    • IBM Back-End Development: IBM
    • Foundations of User Experience (UX) Design: Google

    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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