Get in Touch

Course Outline

Introduction

  • Open Source and General Purpose vs Proprietary or Specific Purpose

Configuring a Python Development Environment for Data Science

The Strengths of Matlab in Numerical Problem Solving

Python Libraries and Packages for Numerical Analysis and Data Science

Practical Application of Python Syntax

Importing Data into Python

Manipulating Matrices

Performing Mathematical Operations

Data Visualization Techniques

Migrating an Existing Matlab Application to Python

Common Challenges When Transitioning to Python

Interoperability: Calling Matlab from Python and Vice Versa

Using Python Wrappers for a Matlab-like Interface

Summary and Wrap-up

Requirements

  • Proficiency in Matlab programming.

Intended Audience

  • Data scientists
  • Developers
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (2)

everything was perfect

Florin Vrincianu
Course - Python Programming Fundamentals

Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.

Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python

Upcoming Courses

Python for Matlab Users

2026-10-06 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Python for Matlab Users

2026-10-20 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

Python for Matlab Users

2026-11-03 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Python for Matlab Users

2026-11-17 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

Python for Matlab Users

2026-12-01 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Related Courses

Advanced Python: Best Practices and Design Patterns

 28 Hours
This instructor-led, live training in Denmark explores advanced Python techniques, engineering best practices, and design patterns. It assists developers in building maintainable, testable, and high-performance applications by utilizing modern tooling, typing, and concurrency models for production-grade systems.
Read more...

Agentic AI Engineering with Python — Build Autonomous Agents

 21 Hours
This instructor-led live training in Denmark explores practical Python techniques for creating autonomous agents, covering agent loops, tool integration, memory management, orchestration, and safety controls. Suited for ML engineers, it emphasises deploying robust, production-ready agents.
Read more...

Introduction to Data Science and AI using Python

 35 Hours
This 35-hour program in Denmark offers a practical exploration of Data Science and AI using Python. Participants will engage with CRISP-DM workflows, machine learning through TensorFlow, NLP, and Big Data processing via Spark. It is an ideal starting point for beginners aiming to develop job-ready analytics capabilities and achieve Python data science certification for business applications.
Read more...

Artificial Intelligence with Python (Intermediate Level)

 35 Hours
This intermediate Denmark course empowers Python developers to design and deploy AI solutions using advanced libraries. You will learn to implement supervised, unsupervised, and reinforcement learning models, optimize neural networks, and effectively integrate AI into real-world workflows.
Read more...

Applied AI from Scratch in Python

 28 Hours
This hands-on training in Denmark enables programmers to construct AI models from the ground up using Python. Learners will gain proficiency in supervised learning, neural networks, and unsupervised techniques by utilizing scikit-learn and Apache Spark. The course emphasizes practical exercises in Jupyter notebooks to address real-world problems.
Read more...

AWS Cloud9 and Python: A Practical Guide

 14 Hours

This instructor-led, live training in Denmark (online or onsite) is designed for intermediate-level Python developers aiming to improve their Python development capabilities with AWS Cloud9.

After this training, participants will be able to:

  • Set up and configure AWS Cloud9 for Python development.
  • Understand the AWS Cloud9 IDE interface and features.
  • Write, debug, and deploy Python applications in AWS Cloud9.
  • Collaborate with other developers using the AWS Cloud9 platform.
  • Integrate AWS Cloud9 with other AWS services for advanced deployments.
Read more...

Bespoke Applied Artificial Intelligence and LLM Engineering with Python

35 Hours
This practical training in Denmark empowers data engineers with hands-on AI and LLM engineering skills using Python. Through guided exercises and industry case studies, participants explore prompt design, model integration, and production-ready workflows to construct end-to-end deployable AI solutions.
Read more...

Data Analysis with Python, Pandas and Numpy

 14 Hours

This instructor-led, live training in Denmark (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • Debug and optimize their data analysis code.
Read more...

FARM (FastAPI, React, and MongoDB) Full Stack Development

 14 Hours

This live, instructor-led training, offered both online and on-site, is tailored for developers aiming to utilize the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.

By the end of this program, participants will be equipped to:

  • Configure a development environment that integrates FastAPI, React, and MongoDB.
  • Comprehend the essential concepts, capabilities, and benefits of the FARM stack.
  • Develop REST APIs using FastAPI.
  • Design interactive user interfaces with React.
  • Build, test, and deploy full-stack applications (front-end and back-end) using the FARM stack.
Read more...

Developing APIs with Python and FastAPI

 14 Hours

This instructor-led live training in Denmark (available online or on-site) is designed for developers aiming to leverage FastAPI with Python to build, test, and deploy RESTful APIs with improved ease and speed.

By the end of the session, participants will be capable of:

  • Establishing the required development environment for creating APIs with Python and FastAPI.
  • Accelerating API development using the FastAPI library.
  • Gaining proficiency in creating data models and schemas based on Pydantic and OpenAPI.
  • Connecting APIs to databases using SQLAlchemy.
  • Implementing security and authentication features using FastAPI utilities.
  • Building container images and deploying web APIs to cloud servers.
Read more...

Fraud Detection with Python and TensorFlow

 14 Hours

This instructor-led, live training is delivered in Denmark (online or on-site) and is targeted at data scientists who aim to utilize TensorFlow for analyzing potential fraud data.

Upon completion, participants will be equipped to:

  • Develop a fraud detection model using Python and TensorFlow.
  • Construct linear regression models to effectively predict fraudulent behavior.
  • Engineer a comprehensive, end-to-end AI application tailored for fraud data analysis.
Read more...

Machine Learning with Python – 4 Days

 28 Hours
Gain hands-on expertise in applying Machine Learning techniques with Python during this Denmark training. The curriculum covers key algorithms such as regression, classification, and clustering, focusing on making informed modeling decisions, interpreting outputs, and validating results through practical, real-world applications.
Read more...

Python for Network Engineers

 14 Hours

This instructor-led live training, delivered in Denmark (online or onsite), is designed for network engineers seeking to maintain, manage, and design computer networks using Python.

By the end of this training, participants will be able to:

  • Optimize network automation by leveraging Paramiko, Netmiko, Napalm, Telnet, and pyntc with Python.
  • Master the concepts of multi-threading and multiprocessing in network automation.
  • Utilize GNS3 and Python for network programming projects.
Read more...

Python for Business Analysis and Automation

 21 Hours

This instructor-led live training in Denmark (available online or onsite) is designed for business professionals and data analysts with intermediate Python skills who wish to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.

Read more...

Python Programming Fundamentals

 14 Hours
Ideal for beginners, this course in Denmark provides a comprehensive look at Python fundamentals, core libraries, and community-developed tools. Participants will gain command over data types, object-oriented programming, file handling, and industry best practices, building the practical skills needed for real-world applications and scientific data analysis.
Read more...

Related Categories

MATLAB
MATLAB
Python
Python