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: PreviewUniversity of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Scripting, Command-Line Interface, OS Process Management, Artificial Intelligence
Status: FreePrinceton University
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging
Status: PreviewÉcole Polytechnique
Skills you'll gain: Peer Review, Journals, Scientific Methods, Research, Research Design, Proofreading, Research Methodologies, Editing, Ethical Standards And Conduct, Data Management
Status: Free TrialJohns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, C++ (Programming Language), Machine Learning Methods, Performance Tuning, C and C++, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Hardware Architecture, Computer Vision, Programming Principles, OS Process Management, Data Structures, Machine Learning
Status: Free TrialVanderbilt University
Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Dimensionality Reduction, Classification And Regression Tree (CART), Computer Programming, Histogram, AI Personalization, Data Processing, Data Analysis, Programming Principles, Debugging
What brings you to Coursera today?
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Distributed Computing, Scalability, Software Architecture, Big Data, Operating Systems, Performance Tuning, File Systems, Cloud Development, Scripting, Command-Line Interface, C and C++, Linux, Data Sharing, OS Process Management, Communication Systems, Artificial Intelligence
Status: Free TrialUniversity of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Program Development, Computer Graphics, Web Design and Development, Cybersecurity, Computer Programming, Problem Management, Computational Thinking, General Mathematics, Systems Of Measurement, Problem Solving
Status: Free TrialRice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Middleware, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Cloud Platforms, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Containerization, Software-Defined Networking, NoSQL
Status: NewSkills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data
Status: Free TrialJohns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Collaborative Software, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Data Collection, LLM Application, Behavioral Economics, Analytics
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Introduction to Python for Scientific Computing: University of Colorado Boulder
- Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
- Computer Science: Programming with a Purpose: Princeton University
- How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
- GPU Programming: Johns Hopkins University
- MATLAB Programming for Engineers and Scientists: Vanderbilt University
- High-Performance and Parallel Computing: University of Colorado Boulder
- Introduction to Computer Science and Programming: University of London
- Parallel, Concurrent, and Distributed Programming in Java: Rice University
- Cloud Computing: University of Illinois Urbana-Champaign
