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: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Programming
Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Computer Science, Jupyter, Physics, Simulations, Software Installation, Development Environment
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Other Programming Languages, Java, Performance Tuning
Status: PreviewJohns Hopkins University
Skills you'll gain: Computer Systems, Informatics, Data Processing, Data Sharing, Computing Platforms, Health Informatics, Bioinformatics, Data Storage, Computer Architecture, Computer Literacy, Computer Hardware, Big Data, Capacity Management, Data Centers, Cloud Computing
Status: Free TrialVanderbilt University
Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Computer Programming, Engineering Analysis, Scripting, Performance Tuning
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles
Status: PreviewUniversity of Geneva
Skills you'll gain: Simulations, Python Programming, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Mechanics
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Software Architecture, Cloud Development
Status: Free TrialJohns Hopkins University
Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, C and C++, Distributed Computing, Computer Graphics, Computer Vision, System Programming, Data Processing, Software Development, Performance Tuning, Hardware Architecture, Data Structures, Real Time Data, Algorithms
Politecnico di Milano
Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Amazon Web Services, Performance Tuning, Computer Architecture, Hardware Architecture, Computer Programming
Status: Free TrialSkills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Data Manipulation, Programming Principles, Computer Programming, Software Installation, Development Environment, Jupyter, Integrated Development Environments
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
- Practical Quantum Computing with IBM Qiskit for Beginners: Packt
- Parallel programming: École Polytechnique Fédérale de Lausanne
- Computing for Cancer Informatics: Johns Hopkins University
- Mastering Programming with MATLAB: Vanderbilt University
- Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
- Simulation and modeling of natural processes: University of Geneva
- Efficient Programming: University of Colorado Boulder
- CUDA at Scale for the Enterprise: Johns Hopkins University
- Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano
