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  • Scientific Computing

Scientific Computing Courses

Scientific computing courses can help you learn numerical methods, data analysis, algorithm development, and simulation techniques. You can build skills in programming languages like Python and R, as well as mathematical modeling and statistical analysis. Many courses introduce tools such as MATLAB, NumPy, and SciPy, that support implementing algorithms and processing large datasets effectively.


Popular Scientific Computing Courses and Certifications


  • C

    Coursera

    Getting started with ImageJ

    Skills you'll gain: Image Analysis, Software Installation, Data Analysis, Analysis, Scientific Visualization, User Interface (UI)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    57 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Biochemical Principles of Energy Metabolism

    Skills you'll gain: Physiology, Endocrinology, Biochemistry, Cell Biology, Pathology, Biology, Nutrition and Diet, Chronic Diseases, Oncology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    826 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    R

    Red Hat

    OpenStack Administration: Control Plane Management

    Skills you'll gain: OpenShift, Kubernetes, Cloud Management, Linux Administration, Network Administration, Cloud Computing Architecture, Network Infrastructure, Containerization, Network Troubleshooting, System Configuration, Configuration Management, YAML, API Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Strategic Business Analytics

    Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Advanced Analytics, Statistical Analysis, People Analytics, Statistical Programming, Data Storytelling, Business Strategy, Complex Problem Solving, R Programming, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 2: Structured Programming

    Skills you'll gain: C (Programming Language), C++ (Programming Language), Debugging, Computer Programming, Data Structures, Object Oriented Programming (OOP), Command-Line Interface, File Systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    784 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Statistical Modeling, Predictive Modeling, Regression Analysis, R Programming, Data Analysis, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Application Development using Microservices and Serverless

    Skills you'll gain: Application Deployment, OpenShift, Cloud Applications, Serverless Computing, Microservices, Istio, API Gateway, Restful API, Cloud Computing, IBM Cloud, Kubernetes, Application Development, Containerization, Software Architecture, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    391 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    基礎光學一 (Introduction to Optics (1))

    Skills you'll gain: Experimentation, Physics, Medical Imaging, Engineering, Scientific, and Technical Instruments, Mathematical Modeling, Physical Science, Scientific Methods, Applied Mathematics, Scientific Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    71 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Application Development, Systems Development, Python Programming, Supervised Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    AlmaLinux Mastery – Free Path to Enterprise Linux

    Skills you'll gain: Package and Software Management, Network Administration, Cloud Hosting, File Systems

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Introduction to AWS Cloud Careers

    Skills you'll gain: Public Cloud, Cloud Computing Architecture, Cloud Computing, Application Programming Interface (API), Cloud Services, Scalability, Cloud Platforms, Amazon Web Services, Infrastructure As A Service (IaaS), Technical Services, Systems Administration, Solution Architecture, Security Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    79 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Kafka, Apache Hadoop, Dashboard, Data Governance, Cloud Services, Metadata Management, Data Management, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Quality, Big Data, Data Transformation, Looker (Software), Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to scientific computing

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

  • Getting started with ImageJ: Coursera
  • Biochemical Principles of Energy Metabolism: Korea Advanced Institute of Science and Technology(KAIST)
  • OpenStack Administration: Control Plane Management: Red Hat
  • Strategic Business Analytics: ESSEC Business School
  • C for Everyone, Part 2: Structured Programming: University of California, Santa Cruz
  • Data Modeling and Prediction with R: Duke University
  • Application Development using Microservices and Serverless : IBM
  • 基礎光學一 (Introduction to Optics (1)): National Taiwan University
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • AlmaLinux Mastery – Free Path to Enterprise Linux: Packt

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