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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


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    Northwestern University

    Fundamentals of Digital Image and Video Processing

    Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Visualization (Computer Graphics), Matlab, Mathematical Modeling, Color Theory, Applied Mathematics

    4.6
    Rating, 4.6 out of 5 stars
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    1.8K reviews

    Mixed · Course · 1 - 3 Months

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    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management

    4.8
    Rating, 4.8 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    AI Infrastructure: Deployment Types

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Kubernetes, Cloud Deployment, Infrastructure As A Service (IaaS), Model Deployment, Network Performance Management, Application Deployment, Cloud Engineering, AI Orchestration, Containerization, Performance Tuning, Network Planning And Design, Distributed Computing, System Configuration

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google Cloud

    Reliable Google Cloud Infrastructure: Design and Process

    Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Google Cloud Platform, Network Architecture, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Computing, Key Performance Indicators (KPIs), DevOps, Virtual Networking, System Design and Implementation, Load Balancing, Disaster Recovery

    4.7
    Rating, 4.7 out of 5 stars
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    7.2K reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Architect and Scale Robust Multi-Cloud AI Systems

    Skills you'll gain: Multi-Cloud, Enterprise Architecture, Cloud Computing Architecture, Cloud Platforms, Data-Driven Decision-Making, Solution Architecture, Systems Architecture, Cloud Infrastructure, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Scalability, CI/CD, IT Security Architecture, Infrastructure As A Service (IaaS), Capacity Planning, Systems Analysis, Security Controls, Cost Containment, Blueprinting, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    생성형 AI 리더 (Generative AI Leader)

    Skills you'll gain: Prompt Engineering, Google Gemini, Responsible AI, Generative AI Agents, Retrieval-Augmented Generation, Generative AI, Google Workspace, Gemini, AI Product Strategy, Google Cloud Platform, Customer experience improvement, AI Enablement, Data Governance, Machine Learning Methods, Unstructured Data, Productivity Software, AI Security, Artificial Intelligence, Cloud Computing, Collaboration

    Beginner · Specialization · 3 - 6 Months

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    Google Cloud

    Generative AI Leader 学習プログラム

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Google Gemini, Responsible AI, AI Security, Generative AI, Gemini, Google Workspace, AI Enablement, Google Cloud Platform, Large Language Modeling, AI Product Strategy, AI Workflows, Tool Calling, Unstructured Data, Cloud Management, Cloud Infrastructure, Artificial Intelligence, Cloud Computing, Collaboration

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Google

    Configuration Management and the Cloud

    Skills you'll gain: Infrastructure as Code (IaC), Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Cloud Services, Cloud Computing, Virtual Machines, Software As A Service, Change Control, Terraform, System Monitoring, Incident Management, Configuration Management, Cloud Storage, Disaster Recovery, Automation, Scalability, Service Level, Load Balancing

    4.7
    Rating, 4.7 out of 5 stars
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    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    3.6K reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Optimize Kafka for Speed & Availability

    Skills you'll gain: Apache Kafka, Data Loss Prevention, Performance Tuning, System Monitoring, Prometheus (Software), Scalability, Real Time Data, Grafana, Process Optimization, Distributed Computing, System Configuration, Command-Line Interface, Content Strategy

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Toronto

    Plant Bioinformatic Methods

    Skills you'll gain: Bioinformatics, Network Analysis, Biostatistics, Molecular Biology, Analysis, Data Visualization Software, Database Software, Health Informatics, Data Analysis, Data Synthesis, Life Sciences, Statistical Methods, Data Mining, Exploratory Data Analysis, Technical Communication, Unsupervised Learning, Data Processing, Tree Maps, Scientific Visualization, Databases

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, Real Time Data, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · 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

  • Fundamentals of Digital Image and Video Processing: Northwestern University
  • Human Resource Management: HR for People Managers: University of Minnesota
  • AI Infrastructure: Deployment Types: Google Cloud
  • Reliable Google Cloud Infrastructure: Design and Process: Google Cloud
  • Architect and Scale Robust Multi-Cloud AI Systems: Coursera
  • 생성형 AI 리더 (Generative AI Leader): Google Cloud
  • Generative AI Leader 学習プログラム: Google Cloud
  • Configuration Management and the Cloud: Google
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Optimize Kafka for Speed & Availability: Coursera

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