Basic MATLAB Programming
21 hours
MATLAB Fundamentals
21 hours
Dynamic Analysis Using Matlab
21 hours
Matlab for Finance
14 hours
MATLAB Programming
14 hours
MATLAB for Financial Applications
21 hours
Matlab for Deep Learning
14 hours
Matlab for Predictive Analytics
21 hours
Matlab for Prescriptive Analytics
14 hours
Octave not only for programmers
21 hours
Python for Matlab Users
14 hours
Trainer took the initiative to cover additional content outside our course materials to improve our learning.
Chia Wu Tan - SMRT Trains Ltd [MATLAB Programming]Exercises were most beneficent thing in the sessions
- Halcon Systems [MATLAB Programming]Students interact to solve problems
- 东风康明斯 [MATLAB Programming]Interaction
chengyang cai - 东风康明斯 [MATLAB Programming]Alternation theory / practice effective!
- CIRAD [Introduction au Machine Learning avec MATLAB]Progressive presentation and application of methods
Aurélien Briffaz - CIRAD [Introduction au Machine Learning avec MATLAB]Availability and adaptability, answers to questions
Jean-Michel MEOT - CIRAD [Introduction au Machine Learning avec MATLAB]Issues discussed, exercises carried out (examples), atmosphere of training, contact with the trainer, location.
- Wojskowe Zakłady Uzbrojenia S.A. w Grudziądzu [Octave nie tylko dla programistów]His deep knowledge about the subject
[MATLAB Fundamentals, Data Science & Report Generation]Teaching style and ability of the trainer to overcome unforeseen obstacles and adopt to circumstances. Broad knowledge and experience of the trainer
ASML [Python for Matlab Users]Overall good intro to Python. The format of using Jupyter notebook and live examples on the projector was good for following along with the exercises.
ASML [Python for Matlab Users]Hands on experience.
Matevz Nolimal - European Investment Bank [MATLAB Programming]Many useful exercises, well explained
Helene Meadows - European Investment Bank [MATLAB Programming]
wendy 张 - 默克
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His deep knowledge about the subject
[MATLAB Fundamentals, Data Science & Report Generation]