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: PreviewJohns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation
Skills you'll gain: Virtual Private Networks (VPN), Google Cloud Platform, Multi-Cloud, Hybrid Cloud Computing, Cloud Computing Architecture, Cloud Computing, General Networking, Network Infrastructure, Network Architecture, Wide Area Networks, Network Security
Status: NewStatus: Free TrialSkills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Cloud Services, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Data Analysis, Data Ethics, Application Programming Interface (API)
Skills you'll gain: Kubernetes, Image Analysis, Application Deployment, Containerization, Google Cloud Platform, Cloud Applications, Cloud API, Computer Vision, Web Applications
Status: PreviewGoogle Cloud
Skills you'll gain: Generative AI, Generative Model Architectures, Model Deployment, Image Analysis, Applied Mathematics, Physics
Status: Free TrialGoogle Cloud
Skills you'll gain: Model Deployment, Generative AI, Generative Model Architectures, Image Analysis, Large Language Modeling
Google Cloud
Skills you'll gain: Gemini, Google Workspace, Generative AI, Language Interpretation, Translation, and Studies
Status: PreviewGoogle Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, Google Gemini, Generative AI, LLM Application
Status: PreviewGoogle Cloud
Skills you'll gain: Responsible AI, Artificial Intelligence, Business Ethics, Governance, AI Product Strategy
Status: Free TrialSkills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
Status: FreeSkills you'll gain: Model Deployment, Analytics, R Programming, Google Sheets, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Google Cloud
Skills you'll gain: Load Balancing, Google Cloud Platform, Network Routing, Web Servers, Scalability, Servers, System Configuration, Virtual Networking
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Der Werkzeugkasten des Data Scientist: Johns Hopkins University
- Networking in Google Cloud: Hybrid and Multicloud - 日本語版: Google Cloud
- Advanced Data Applications and Integration: Microsoft
- Awwvision: Cloud Vision API from a Kubernetes Cluster: Google Cloud
- Introduction to Image Generation - 한국어: Google Cloud
- Görüntü Üretmeye Giriş: Google Cloud
- Gemini in Google Meet - Français: Google Cloud
- Introduction to Large Language Models - 日本語版: Google Cloud
- Introduction to Responsible AI - 简体中文: Google Cloud
- Recommender Systems: An Applied Approach using Deep Learning: Packt
