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    • Quantum Computing

    Quantum Computing Courses Online

    Study quantum computing for next-generation technology. Learn about quantum algorithms, qubits, and quantum information theory.

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    Explore the Quantum Computing Course Catalog

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Systems Analyst

      Skills you'll gain: Data Storytelling, Business Analysis, Systems Development Life Cycle, Business Process Modeling, Process Optimization, Requirements Management, Business Requirements, Stakeholder Management, Stakeholder Engagement, Systems Analysis, Risk Analysis, Requirements Analysis, Data Visualization Software, Information Technology, Dashboard, Business Systems Analysis, IBM Cognos Analytics, Computer Hardware, Cloud Computing, Network Troubleshooting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      VLSI CAD Part I: Logic

      Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Algorithms, Computer Engineering, Programming Principles, Mathematical Software, Graph Theory, Software Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      552 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Cloud Computing Concepts, Part 1

      Skills you'll gain: Distributed Computing, Data Store, NoSQL, Operating Systems, Apache Cassandra, Cloud Computing, Systems Design, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Data Management, NoSQL, Database Management Systems, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Blockchain

      Skills you'll gain: Blockchain, Test Driven Development (TDD), Cryptography, Application Development, Transaction Processing, Emerging Technologies, Integrated Development Environments, Software Architecture, Network Protocols, Encryption, Web Applications, Program Development, Distributed Computing, Application Programming Interface (API), Microsoft Azure, FinTech, Software Development, Cloud Computing Architecture, Development Environment, Web Development Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Digital Transformation Using AI/ML with Google Cloud

      Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Applied Machine Learning, Hybrid Cloud Computing, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Technical Management, Business Transformation, Containerization, Technology Strategies, Cloud-Native Computing, Multi-Cloud, IT Management, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Beginner · Specialization · 1 - 3 Months

    Quantum Computing learners also search

    Quantum
    Quantum Physics
    Quantum Mechanics
    Quantum Cryptography
    Physics
    Calculus
    Mathematics
    Theoretical Computer Science
    1…101112…284

    In summary, here are 10 of our most popular quantum computing courses

    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • IBM Systems Analyst: IBM
    • R Programming: Johns Hopkins University
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
    • Genomic Data Science: Johns Hopkins University
    • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
    • Big Data: University of California San Diego
    • Data Analysis with R: Duke University

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Quantum Computing

    Quantum computing is the area of computing that studies how to apply quantum theory to develop new ways of computing. Quantum theory looks at the world from the atomic and subatomic levels, so quantum computing takes the practices of classical computing to smaller sizes and faster speeds. Quantum computers can sort data and solve complex problems much more efficiently than a classical computer can. Today's technological innovators are studying quantum physics to develop new methods to solve problems in ways that you could only dream about just a few years ago.‎

    Whether for academic research, career advancement, or personal interest, having a clear goal will guide your learning of quantum computing. Regular practice with quantum algorithms and understanding quantum principles is crucial. Join quantum computing communities like Qiskit or Reddit’s r/QuantumComputing for support and resources. Work on real projects like developing quantum programs or simulations.‎

    Quantum computing is an exciting, cutting-edge field that can make a significant impact across multiple areas of our lives in the near future. The discoveries that quantum computing is producing could add new technologies and innovations in the design of new materials, artificial intelligence, medicine, finance, aerospace, vehicle design, and the military. Some of the world's best-known technology companies are working to make strides in quantum computing, which means that it's a rapidly growing field where you may find plenty of job opportunities over the next few years.‎

    Quantum computing has the potential to create new jobs across many sectors of society, from jobs developing quantum computer technology to careers that apply this new discipline in different industries. You can find jobs performing the research and experimentation that is leading to quantum computing breakthroughs. As quantum computing grows in prominence, you might be able to use it to crack codes in espionage or rely on it to develop new medicines and vaccines. New careers that involve quantum computing will arise in the coming years, creating even more opportunities.‎

    When you take online courses on Coursera, you can learn how quantum computing can solve more problems with fewer equations or how quantum computing works in certain applications. You have the opportunity to learn about important concepts, such as mathematical biostatistics, mechanics, machine learning, number theory, and cryptography.‎

    Online Quantum Computing courses offer a convenient and flexible way to enhance your knowledge or learn new Quantum Computing skills. Choose from a wide range of Quantum Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Quantum Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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