Enterprise Machine Learning based on R: get the most out of your data!

• November 26, 2024
• admin

Learn how to get the most out of your data with this course, developed within the EU-funded project EAGLE’s framework. Structured in 4 main modules, supplemented by a guided reflection and feedback component, the course provides a comprehensive learning experience in data science using the programming language R. Each module combines synchronous and autonomous work, enabling students to engage both theoretically and practically with data science concepts.

About this course: aims & objectives

The objective of this course is to equip participants with the skills to use R for data analysis, ultimately enabling them to effectively manipulate, visualise, and process data.

By the end of the course, students will be able to build both linear and nonlinear predictive models for classification and regression tasks through supervised learning and apply unsupervised learning techniques to extract patterns through data clustering. Additionally, they will apply their knowledge to a practical case study simulating a real-world problem.

Learning outcomes:

Upon successful completion of this course, participants will:

• Understand how to create, extract, pre-process and visualise information;
• Learn how to create linear and non-linear predictive models using supervised learning for classification and regression tasks.
• Practice extracting information from clusters using unsupervised learning.

More information

The course is developed under the framework of the EU-funded EAGLE project, an initiative that aims to contribute to development of vibrant European education communities and works with a range of business partners to identify existing skill/knowledge gaps and address them. The project is specifically dedicated to bringing concrete improvements for SMEs.

Three editions of this course are planned throughout 2025: 

• 1st edition: 17 February 2025 – 28 February 2025; 
• 2nd and 3rd edition: to be announced in 2025. 

Now that we have sparked your interest, head over and explore the course on project EAGLE’s website!