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Explore the Scientific Computing Course Catalog
- Status: Free Trial
University of Colorado System
Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Development Environment, Computer Programming, Data Structures, Debugging
- Status: Free Trial
Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Network Analysis, Computational Thinking, Analysis, Computer Science, Probability & Statistics, Network Routing, Probability, Operations Research, Design Strategies
- Status: Free Trial
Howard University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Matplotlib, Statistical Modeling, Supervised Learning, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Python Programming
- Status: Preview
Skills you'll gain: Thermal Management, Hydraulics, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics
- Status: Free Trial
Duke University
Skills you'll gain: Python Programming, Simulations, Debugging, Statistical Methods, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Data Structures, Data Cleansing, Data Analysis, Software Engineering, Software Development
In summary, here are 5 of our most popular scientific computing courses
- Algorithms, Data Collection, and Starting to Code: University of Colorado System
- Algorithms: Stanford University
- Linear Algebra for Data Science Using Python: Howard University
- Angewandte numerische Fluiddynamik: Siemens
- Designing Larger Python Programs for Data Science: Duke University