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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


  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Applied Machine Learning, Scikit Learn (Machine Learning Library)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Infosec

    C++ Superpowers and More

    Skills you'll gain: Secure Coding, C and C++, Application Security, System Programming, C++ (Programming Language), C (Programming Language), Security Engineering, Interoperability, Unix, Embedded Software, Information Systems Security, OS Process Management, Embedded Systems, Operating Systems, Data Security, Memory Management, Authorization (Computing), Linux

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Certified Cloud Security Professional (CCSP): Unit 2

    Skills you'll gain: Data Integrity, Data Management, Cloud Management, Data Loss Prevention, Cloud Storage, Data Storage, Security Controls, Cloud Standards, Identity and Access Management

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Harnessing Ollama – Create Local LLMs with Python

    Skills you'll gain: LLM Application, Tool Calling, Large Language Modeling, Retrieval-Augmented Generation, Command-Line Interface, Embeddings, Python Programming, Application Development, Vector Databases, User Interface (UI), Software Installation, Restful API, Development Environment

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Français

    Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Model Training, Google Cloud Platform, Data Preprocessing, Model Optimization, Data Processing, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Data Transformation

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine: Workloads em Português Brasileiro

    Skills you'll gain: Kubernetes, Cloud-Native Computing, Data Persistence, Google Cloud Platform, Scalability, Application Deployment, Data Storage, Cloud Deployment, Containerization, Load Balancing, Cloud Security, General Networking, Authentications, Configuration Management, Network Security

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

    Skills you'll gain: Google Cloud Platform, Cloud Management, Data Sharing, Data Access, Cloud Computing, Cloud Security, Data Integration, Data Management, Data-Driven Decision-Making, Data Visualization

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Model Training, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    GKE Workload Optimization

    Skills you'll gain: Kubernetes, Load Balancing, Cloud-Native Computing, Application Deployment, Google Cloud Platform, Containerization, Performance Stress Testing, DevOps, Performance Testing, Routing Protocols, Cloud Infrastructure

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Working with Notebooks in Vertex AI

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universitat Politècnica de València

    Basic Math: Numbers and Terminology

    Skills you'll gain: Deductive Reasoning, Concept Of Operations

    Beginner · Course · 1 - 4 Weeks

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

  • Python per la Data Science: Università di Napoli Federico II
  • C++ Superpowers and More: Infosec
  • Certified Cloud Security Professional (CCSP): Unit 2: Pearson
  • Harnessing Ollama – Create Local LLMs with Python: Packt
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
  • Architecting with Google Kubernetes Engine: Workloads em Português Brasileiro: Google Cloud
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery: Google Cloud
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • GKE Workload Optimization: Google Cloud

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