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Computational Science Courses

Computational Science courses can help you learn numerical analysis, simulation techniques, and data visualization. You can build skills in algorithm development, statistical modeling, and high-performance computing. Many courses introduce tools like Python, MATLAB, and R, that support implementing simulations and analyzing large datasets. You'll also explore key topics such as parallel computing, machine learning applications, and optimization methods, allowing you to tackle complex scientific problems and enhance your analytical capabilities.


Popular Computational Science Courses and Certifications


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    Microsoft

    Building intelligent agent workflows

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), System Testing, Test Case, Health Informatics, Health Technology, Performance Testing, Business Logic, Serverless Computing, Data Security

    Intermediate · Course · 1 - 4 Weeks

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    Caltech

    The Evolving Universe

    Skills you'll gain: Physical Science, Physics, General Science and Research, Mechanics, Spatial Analysis, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    838 reviews

    Mixed · Course · 1 - 3 Months

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    University of California San Diego

    Algorithms on Graphs

    Skills you'll gain: Graph Theory, Algorithms, Network Routing, Social Network Analysis, Data Structures, Network Analysis, Network Model, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    생성형 AI 앱: 업무 혁신

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Google Cloud Platform, Productivity Software, Prompt Engineering, Enterprise Security, Document Management, Information Management

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    437 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

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    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
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    771 reviews

    Mixed · Course · 1 - 3 Months

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    Meta

    Meta iOS UI Development

    Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Test Case, Software Testing, Object Oriented Programming (OOP), Integrated Development Environments, Development Environment, Prototyping

    4.6
    Rating, 4.6 out of 5 stars
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    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

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    Packt

    Foundations of 3D Modeling in Blender

    Skills you'll gain: 3D Modeling, 3D Assets, Computer Graphics, Visualization (Computer Graphics), File Management, Graphical Tools

    Intermediate · Course · 3 - 6 Months

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    Coursera

    Advanced BSP Development with Embedded C

    Skills you'll gain: Embedded Software, Embedded Systems, System Programming, Cross Platform Development, Hardware Architecture, Peripheral Devices, Serial Peripheral Interface, Performance Tuning, Software Design, Real Time Data, Technical Design, C (Programming Language), Debugging, System Configuration, Maintainability, Scalability, Data Mapping

    Advanced · Course · 1 - 4 Weeks

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    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures

    4.5
    Rating, 4.5 out of 5 stars
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    256 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to computational science

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

  • Building intelligent agent workflows: Microsoft
  • The Evolving Universe: Caltech
  • Algorithms on Graphs: University of California San Diego
  • 생성형 AI 앱: 업무 혁신: Google Cloud
  • Linear Regression with Python: Coursera
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington
  • Meta iOS UI Development: Meta
  • Foundations of 3D Modeling in Blender: Packt

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