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Results for "scientific+computing"
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Big Data, Apache, Computer Programming, SQL, Scala Programming
University of Colorado Boulder
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Algorithms, Scala Programming
Skills you'll gain: Machine Learning, Computer Vision, Matlab
Coursera Project Network
University of Colorado System
Skills you'll gain: Computer Programming, C Programming Language Family, Data Analysis, Algorithms, Computational Thinking
Status: FreeGeorgia Institute of Technology
Skills you'll gain: Data Analysis, Database Application, Statistical Analysis
Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Bayesian Statistics, Python Programming
Status: FreeUniversity of Geneva
Skills you'll gain: Python Programming
Status: FreeLudwig-Maximilians-Universität München (LMU)
Skills you'll gain: Differential Equations, Mathematical Theory & Analysis, Mathematics, Computer Programming, Python Programming, Problem Solving, Applied Mathematics, Computational Thinking, Linear Algebra, Programming Principles
Vanderbilt University
Skills you'll gain: Computer Programming, Other Programming Languages, Algorithms, Theoretical Computer Science, Matlab
In summary, here are 10 of our most popular scientific+computing courses
- Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
- Advanced Data Structures, RSA and Quantum Algorithms:Â University of Colorado Boulder
- Parallel programming: École Polytechnique Fédérale de Lausanne
- Computer Vision for Engineering and Science:Â MathWorks
- FEM - Linear, Nonlinear Analysis & Post-Processing:Â Coursera Project Network
- Computational Thinking with Beginning C Programming:Â University of Colorado System
- Materials Data Sciences and Informatics:Â Georgia Institute of Technology
- Introduction to Computational Statistics for Data Scientists:Â Databricks
- Simulation and modeling of natural processes:Â University of Geneva
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
