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: PreviewUniversity of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Mathematical Software, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Shell Script, Computer Systems, Big Data, Linux Commands, Hardware Architecture, Operating Systems, File Systems, Computing Platforms, Linux, Performance Testing, Scripting, Performance Tuning, Memory Management, Programming Principles, Capacity Management, File Management
Status: Free TrialJohns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Program Development, Scalability, Applied Machine Learning, Deep Learning, C and C++, Memory Management, Performance Tuning, Software Development, C++ (Programming Language), Dataflow, Digital Signal Processing, Linear Algebra, Distributed Computing, System Programming, Hardware Architecture, Mathematical Software, Machine Learning
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Mathematical Software, Data Analysis, Probability, Geometry, Applied Mathematics, Mechanics, Estimation, Probability & Statistics, Exploratory Data Analysis, Graphing, Physics
Status: PreviewÉcole Polytechnique
Skills you'll gain: Peer Review, Writing and Editing, Journals, Scientific Methods, Research Reports, Research, Proofreading, Research Methodologies, Editing, Document Management, Style Guides, Ethical Standards And Conduct
Status: NewStatus: PreviewJetBrains
Skills you'll gain: NumPy, Python Programming, Linear Algebra, Numerical Analysis, Data Manipulation, Data Processing, Integrated Development Environments, Data Science, Data Management, Software Development Tools, Software Development, Machine Learning, Engineering, Scientific, and Technical Instruments
What brings you to Coursera today?
Status: PreviewLudwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Integral Calculus, Simulation and Simulation Software, Python Programming, Mechanics, Simulations, Derivatives
Status: PreviewUniversity of California, Santa Cruz
Skills you'll gain: Scientific Visualization, Data Literacy, Data Visualization Software, Animations, Data Presentation, Video Editing, Data Storytelling, Adobe After Effects, Graphics Software, Storyboarding, Adobe Premiere, Peer Review, Motion Graphics, Autodesk Maya, Post-Production, Computer Graphic Techniques, Technical Communication, Style Guides, Scripting, Professional Development
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Hardware Architecture, Microarchitecture, Bash (Scripting Language), Distributed Computing, Scalability, Memory Management, Shell Script, Computer Systems, File I/O, Big Data, Linux Commands, Operating Systems, File Systems, Cloud Development, C and C++, Linux, Computing Platforms, Data Import/Export, C++ (Programming Language), Communication Systems
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Cloud Deployment, Apache Spark, Web Services, Cloud Technologies, Cloud Services, Virtualization and Virtual Machines, Cloud Computing Architecture, PySpark, Cloud Infrastructure, Cloud Development, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
Status: Free TrialSkills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation
Status: Free TrialLearnQuest
Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Model Training, Machine Learning, Data Science
In summary, here are 10 of our most popular scientific computing courses
- Introduction to Python for Scientific Computing:Â University of Colorado Boulder
- Introduction to High-Performance and Parallel Computing:Â University of Colorado Boulder
- GPU Programming:Â Johns Hopkins University
- Integral Calculus through Data and Modeling:Â Johns Hopkins University
- How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
- Python: Mastering NumPy Essentials:Â JetBrains
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
- Data-Driven Animation for Science Communication:Â University of California, Santa Cruz
- High-Performance and Parallel Computing:Â University of Colorado Boulder
- Cloud Computing for Data Science:Â University of Pittsburgh
