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    • Scientific Computing

    Scientific Computing Courses Online

    Learn scientific computing for data analysis and simulations. Understand algorithms, numerical methods, and programming for scientific applications.

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    Explore the Scientific Computing Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Data Visualization, Matplotlib, Network Analysis, Machine Learning Algorithms, Supervised Learning, Pandas (Python Package), Data Visualization Software, Text Mining, Interactive Data Visualization, Plot (Graphics), Applied Machine Learning, Scikit Learn (Machine Learning Library), Visualization (Computer Graphics), Data Presentation, Statistical Methods, Data Manipulation, Network Model, Graph Theory, Natural Language Processing, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      F

      Fractal Analytics

      Quantum Computing For Everyone - An Introduction

      Skills you'll gain: IBM Cloud, Algorithms, Theoretical Computer Science, Computational Thinking, Computer Science, Linear Algebra, Computational Logic, Computer Architecture, Physics, Simulations, Critical Thinking

      4
      Rating, 4 out of 5 stars
      ·
      75 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Rmarkdown, Shiny (R Package), Exploratory Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Plot (Graphics), Knitr, Statistical Analysis, Machine Learning Algorithms, R Programming, Statistical Methods, Plotly, Data Manipulation, Statistical Visualization, Statistical Modeling, Data Science, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, SQL, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, Linux Commands, Database Administration, Web Scraping, Data Pipelines, Database Design, Extract, Transform, Load, Interviewing Skills, Generative AI, Jupyter, Python Programming, Data Science, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Large Language Modeling, Deep Learning, Leadership and Management, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Strategic Leadership, Business Development, Artificial Intelligence, Business Ethics, Innovation, Emerging Technologies, Business Transformation, IBM Cloud, Business Strategies, Digital Transformation, Content Creation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Scalability, Reinforcement Learning, Natural Language Processing, Machine Learning, Performance Tuning, Python Programming, Software Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Prompt Engineering, Cloud Infrastructure, Kubernetes, PostgreSQL, Data Migration, Database Architecture and Administration, Cloud Computing Architecture, Database Administration, Cloud-Based Integration, Application Deployment, Containerization, MySQL, Identity and Access Management, Cloud Services, Generative AI, Cloud Computing, Cloud Applications, Google Cloud Platform, Database Design, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      DevOps, Cloud, and Agile Foundations

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, DevOps, Sprint Planning, Cloud Computing Architecture, Cloud Computing, Cloud Security, Cloud Services, Cloud Infrastructure, User Story, Infrastructure as Code (IaC), Continuous Delivery, Cloud-Native Computing, Test Driven Development (TDD), Public Cloud, Backlogs, Continuous Integration, Cloud Storage, Behavior-Driven Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Front-End Developer

      Skills you'll gain: Software Development Life Cycle, Bootstrap (Front-End Framework), Cloud-Native Computing, Software Architecture, GitHub, HTML and CSS, Webpack, React Redux, Web Development Tools, Figma (Design Software), User Centered Design, Agile Methodology, React.js, Responsive Web Design, Git (Version Control System), Software Engineering, Version Control, Cloud Applications, User Interface and User Experience (UI/UX) Design, Professional Networking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Computer Hardware, Pseudocode, Algorithms, Problem Solving, Programming Principles, Computer Programming, Python Programming, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Developer

      Skills you'll gain: Cloud Applications, Prompt Engineering, Kubernetes, Cloud Infrastructure, Google Cloud Platform, Containerization, CI/CD, Application Deployment, Docker (Software), Microservices, Serverless Computing, Cloud Development, Generative AI, Cloud API, Identity and Access Management, Cloud Services, Application Development, Cloud Computing, Cloud Storage, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Natural Language Processing, Keras (Neural Network Library), Data-Driven Decision-Making, Large Language Modeling, Technical Management, Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Machine Learning Algorithms, Test Data

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Applied Data Science with Python: University of Michigan
    • Quantum Computing For Everyone - An Introduction : Fractal Analytics
    • Data Science: Johns Hopkins University
    • IBM Data Engineering: IBM
    • Generative AI Fundamentals: IBM
    • Generative AI with Large Language Models: DeepLearning.AI
    • Google Cloud Database Engineer: Google Cloud
    • DevOps, Cloud, and Agile Foundations: IBM
    • IBM Front-End Developer: IBM
    • Computational Thinking for Problem Solving: University of Pennsylvania

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