Online or onsite, instructor-led live MATLAB training courses demonstrate through hands-on practice the fundamentals of MATLAB programming (syntax, arrays and matrices, data visualization, script development, object-oriented principles, etc.) as well as how to apply MATLAB's packages such as Financial Toolbox to perform mathematical and statistical analysis of financial data. MATLAB courses also include how to use related technologies such as Simulink to perform modeling of complex systems.
MATLAB training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live MATLAB trainings in Helsinki can be carried out locally on customer premises or in NobleProg corporate training centers.
This live training in Helsinki introduces object-oriented programming in MATLAB for beginners in geophysics. Learners design classes for data analysis, apply OOP to modeling workflows, and build reusable, scalable code. Hands-on exercises reinforce practical skills for geoscience projects.
This instructor-led, live training in Helsinki (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.
By the end of this training, participants will be able to:
Install and configure a Python development environment.
Understand the differences and similarities between Matlab and Python syntax.
Use Python to obtain insights from various datasets.
This four-day instructor-led course in Helsinki builds foundational image processing skills using Matlab. You will learn to enhance images, build 2D filters, and extract meaningful patterns. Hands-on exercises guide you through the complete analysis workflow for practical, real-world application.
This three-day MATLAB Fundamentals course in Helsinki provides a comprehensive introduction to the technical computing environment. Ideal for beginners without prior experience, it covers data analysis, visualization, and programming fundamentals through hands-on instruction and practical exercises.
In this instructor-led, live training, participants will learn how to use Matlab to design, build, and visualize a convolutional neural network for image recognition.
By the end of this training, participants will be able to:
Build a deep learning model
Automate data labeling
Work with models from Caffe and TensorFlow-Keras
Train data using multiple GPUs, the cloud, or clusters
Audience
Developers
Engineers
Domain experts
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
This two-day MATLAB course in Helsinki is designed for beginners, covering essential topics like data analysis, visualization, and programming. It explores core concepts, matrix operations, script development, and data handling to provide a strong technical foundation for new users.
The course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE. This training is also designed to provide professionals with a background behind architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of multiple diagram types, and how to tie diagram simulations together to automate the architecture.
This comprehensive MATLAB training in Helsinki covers wireless communication simulation. Learn to model complex systems, analyze channel effects, and optimize code performance. Ideal for engineers seeking advanced skills in signal processing and system design.
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Testimonials (2)
The many examples and the building of the code from start to finish.
Toon - Draka Comteq Fibre B.V.
Course - Introduction to Image Processing using Matlab
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