MATLAB and Simulink Training

Course Schedule


MATLAB Fundamentals and knowledge of basic Statistics and Machine Learning Toolbox.

This program has been approved by GARP and qualifies for 14 GARP CPD credit hours.  If you are a Certified FRM or ERP, please record this activity in your credit tracker at

Statistical Methods in MATLAB

This two-day course provides hands-on experience for performing statistical data analysis with MATLAB® and Statistics and Machine Learning Toolbox. Examples and exercises demonstrate the use of appropriate MATLAB and Statistics and Machine Learning Toolbox functionality throughout the analysis process; from importing and organizing data, to exploratory analysis, to confirmatory analysis and simulation. Topics include:

  • Managing data
  • Calculating summary statistics
  • Visualizing data
  • Fitting distributions
  • Performing tests of significance
  • Performing analysis of variance
  • Fitting regression models
  • Reducing data sets
  • Generating random numbers and performing simulations


See detailed course outline

Course Schedule

Results 1 - 8 of 8
Dates Location Language Price Register
26 Sep 2019-
27 Sep 2019
US, New Mexico, Albuquerque English USD 1,500
03 Oct 2019-
04 Oct 2019
Japan, 名古屋市 Japanese JPY 140,000
04 Nov 2019-
05 Nov 2019
Korea (Republic Of), Gangnam, Seoul Korean KRW 900,000
06 Nov 2019-
07 Nov 2019
9:00 a.m. - 5:00 p.m. US Eastern Daylight Time
English USD 1,500
19 Nov 2019-
20 Nov 2019
Germany, München (Ismaning) German EUR 1,400
09 Dec 2019-
10 Dec 2019
US, Georgia, Atlanta English USD 1,500
16 Dec 2019-
17 Dec 2019
France, Paris (Meudon) French EUR 1,400
17 Dec 2019-
18 Dec 2019
Netherlands, Eindhoven English EUR 1,400
Results 1 - 8 of 8

The pricing applies for purchase and use in United States, For pricing in other regions Contact Sales. The product price does not include sales, use, excise, value-added, or other taxes. Any applicable taxes, duties, levies, assessments and governmental charges payable in connection with this purchase will be assessed on the order. Refer to Training Policies for more information