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: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs)
Status: NewPackt
Skills you'll gain: Automation, Operating System Administration, Service Management
Skills you'll gain: Authentications, UI Components, Full-Stack Web Development, Authorization (Computing), File Management, React.js, Application Deployment, Development Environment, JavaScript Frameworks, Web Applications, Amazon Web Services, User Interface (UI), Software Development Tools, Content Management, Data Modeling
Google Cloud
Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software
Status: PreviewGoogle Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Generative Model Architectures, Deep Learning, Machine Learning Methods
Skills you'll gain: Docker (Software), CI/CD, Containerization, Development Environment, Continuous Deployment, Continuous Integration, Devops Tools, DevOps, Application Deployment, Linux, Software Development Tools, YAML, Data Persistence, Command-Line Interface
Skills you'll gain: Automation, Google Workspace, Web Applications
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis
Status: NewSkills you'll gain: Role-Based Access Control (RBAC), Postman API Platform, Authentications, API Testing, Authorization (Computing), Restful API, Secure Coding, Java Programming, Application Design, Spring Boot, User Accounts, API Design
Status: NewStatus: Free TrialSkills you'll gain: Cloud-Native Computing, Kubernetes, CI/CD, OpenShift, DevOps, Git (Version Control System), Continuous Deployment, Cloud Applications, Application Deployment, Application Performance Management, YAML
Status: Free TrialSkills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Image Analysis, Remote Access Systems, Text Mining, Computer Vision, Natural Language Processing
Skills you'll gain: Gemini, Generative AI, LLM Application, Prompt Engineering, Google Cloud Platform, AI Enablement, AI Personalization
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Create Image Captioning Models - Español: Google Cloud
- Intro to Ansible: Packt
- Visual Design of UI & Backends with AWS Amplify Studio: Packt
- Creating Measures and Dimensions Using LookML: Google Cloud
- Encoder-Decoder Architecture - Français: Google Cloud
- The Docker Masterclass for Beginners: Packt
- AppSheet to Google Chat using Webhooks from Automation Bots: Google Cloud
- Interactive, Geospatial & Narrative Data Visualization: University of Pittsburgh
- JWT Authentication Bootcamp with Java & Spring Boot: Packt
- Kubernetes From Basics to Guru: Unit 6: Pearson
