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: NewStatus: Free TrialSkills you'll gain: Software-Defined Networking, Wide Area Networks, Cloud Deployment, Network Infrastructure, Data Centers, Network Planning And Design, Scalability, Configuration Management, Data Migration
Skills you'll gain: Data Migration, PostgreSQL, Database Management, Google Cloud Platform, Data Validation, Data Import/Export, Public Cloud
Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Cloud Infrastructure, Docker (Software), Application Deployment, Cloud Computing, Cloud Management, Cloud Deployment, YAML, Command-Line Interface
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Deployment, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps
Status: NewStatus: Free TrialGoogle Cloud
Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Google Workspace, Generative AI, Google Cloud Platform, Productivity Software, Prompt Engineering, AI Workflows, Enterprise Security
Google Cloud
Skills you'll gain: Google Gemini, Kubernetes, DevOps, Development Environment, AI Workflows, Google Cloud Platform, LLM Application, Cloud Management
Google Cloud
Skills you'll gain: Load Balancing, Virtual Networking, Google Cloud Platform, Network Architecture, General Networking, Computer Networking, Network Administration, Virtual Private Networks (VPN), Identity and Access Management, Network Routing, Firewall, User Accounts, Cloud Storage, Servers
Google Cloud
Skills you'll gain: Gemini, Google Workspace, AI Workflows, Generative AI, AI Enablement, Prompt Engineering
Status: PreviewGoogle Cloud
Skills you'll gain: Gemini, Google Cloud Platform, Kubernetes, Infrastructure as Code (IaC), Cloud Infrastructure, Generative AI Agents, Cloud Computing Architecture, Application Deployment
Skills you'll gain: Google Gemini, Responsible AI, Productivity Software, Google Workspace, Generative AI, Data Ethics, Google Docs, Artificial Intelligence, Writing and Editing
Skills you'll gain: Google Cloud Platform, Service Level, Technical Support and Services, Technical Support, Cloud Services, Technical Communication, Identity and Access Management, File Management, Incident Management, Personally Identifiable Information
Status: NewStatus: Free TrialSkills you'll gain: Content Management Systems, Authentications, Authorization (Computing), Web Components, Content Management, TypeScript, Application Programming Interface (API), Web Analytics and SEO, Restful API, Web Applications, Role-Based Access Control (RBAC), Web Development Tools, Software Installation, Data Modeling
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Cisco Software-Defined Wan for Enterprise & Cloud: Unit 5: Pearson
- Migrating to AlloyDB from PostgreSQL Using PostgreSQL Tools: Google Cloud
- Architecting with Google Kubernetes Engine: Foundations - 繁體中文: Google Cloud
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- 生成式 AI 应用：改变工作方式: Google Cloud
- Gemini for DevOps Engineers - Français: Google Cloud
- Defining and Implementing Networks - Español: Google Cloud
- Gemini in Google Slides - Bahasa Indonesia: Google Cloud
- Gemini for Cloud Architects - Français: Google Cloud
- Introduction to Gemini for Google Workspace - Português: Google Cloud
