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Numerical Methods Training Course
Course
Online
Description
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Type
Course
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Methodology
Online
This course is for data scientists and statisticians that have some familiarity with numerical methods and have at least one programming language from R, Python, Octave, and some C++ options. The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.
The purpose of this course is to give a practical introduction in numerical methods to participants interested in applying the methods at work.
Sector specific examples are used to make the training relevant to the audience.
About this course
Knowledge of at least one programming language from R, Python, Octave, and some C++ options.
Reviews
Course programme
We have hundreds of courses across multiple areas. But briefly, we can distinguish following major branches of courses and consultancy:
Artificial Intelligence
Management
Information Technology
Applied Science
Topics Covered:
- curve fitting
- regression robust regression
- linear algebra: matrix operations
- eigenvalue/eigenvectormatrix decompositions
- ordinary & partial differential equations
- fourier analysis
- interpolation & splines
Additional information
Numerical Methods Training Course