Numerical Methods Training Course

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Course CodeCourse Code

67795

Duration Duration

14 hours (usually 2 days including breaks)

Requirements Requirements

Knowledge of at least one programming language from R, Python, Octave, and some C++ options.

Overview Overview

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.

Course OutlineCourse Outline

Topics Covered:

  • curve fitting
  • regression robust regression
  • linear algebra: matrix operations
  • eigenvalue/eigenvectormatrix decompositions
  • ordinary & partial differential equations
  • fourier analysis
  • interpolation & splines

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From 1750EUR
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 1750EUR
2 1175EUR
3 983EUR
4 888EUR
Public Classroom
From 1950EUR
(56)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 1950EUR
2 1300EUR
3 1083EUR
4 975EUR
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Related Categories

Related Courses


Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
PotsdamMon, 2017-11-06 09:301750EUR / 2250EUR
DresdenTue, 2017-11-07 09:301750EUR / 2250EUR
HannoverThu, 2017-11-09 09:301750EUR / 2250EUR
BremenThu, 2017-11-16 09:301750EUR / 2250EUR
Frankfurt am MainThu, 2017-11-16 09:301750EUR / 2250EUR

Course Discounts

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