Program Image Machine Learning for Business

Machine Learning for Business

Short or summer course

Vrije Universiteit Amsterdam mapmarker icon Amsterdam Research university
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The course aims to minimize the gap between modern statistical theory and practical application in business environments, where many statistical tools are underutilized. The curriculum covers essential methods and techniques pertinent to business operations, ensuring that students grasp the core statistical principles. By the course's conclusion, students should be able not only to utilize those techniques, but also explaining their outcomes to a broader audience, including senior management. While we review the theory, this is mainly a practical course with ample time dedicated to hands-on exercises. The course predominantly uses case studies from the financial sector, but the techniques and methodologies taught are applicable across a diverse range of industries.

Language

English

Title

-

Duration

5 days

ECTS credits

Accreditation

Information not available

Numerus Fixus

Tuition fee 2024/2025

€ 1,000


Admission

Application requirements

Level

The course is accessible for (research) master students, PhD students and post-docs as well as professionals. Students are expected to have a solid background in calculus, linear algebra, and classical statistics. Good familiarity with open source languages such as R or Python is a must.

Admission requirements

Students are expected to have a solid background in calculus, linear algebra, and classical statistics. Good familiarity with open source languages such as R or Python is a must.

Check when you can start and what you have to pay!

Tuition fees  
€ 1,000
Information not available
Information not available
Start date App. deadline EU/EEA App. deadline Non-EU/EEA
22 Jul '24 24 Jun '24 24 Jun '24

Contact

Vrije Universiteit Amsterdam

Main address
De Boelelaan 1105
1081 HV Amsterdam
020-5985020

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