						
							The course aims to minimize the gap between modern statistical theory and practical application in business environments, where many statistical tools are underutilized.

open_in_newstudy website

locatieAmsterdam
diplomacertificate 
typesummer course, 3 EC
taalvolledig English
opleidingsduur5 dagen voltijd
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.

Waarom aan de Erasmus University Rotterdam?

Simulation, bootstrapping and subsampling for inference
Advanced covariance estimation
Density and quantile estimation
Prediction models (Basics or neural networks, tree-based models)
Dimension reduction methods (PCA, autoencoding)
Outlier detection techniques
Communicating machine learning outcomes to a non-technical audience

Onderwijs

taal van onderwijs	100% en
avondonderwijs	n.v.t.
afstandsonderwijs	n.v.t.

onderwijsvormen

computer exercise, lecture, tutorial

objectives

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.

Toelating en kosten

toelatingseisen

vooropleiding
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.

basiskennis
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.

inbegrepen in collegegeld

certificate

registration fee

lunch

study material

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.

Contact

Summer School Coordinator

E: summerschool@tinbergen.nl
W:

Meer informatie?
Bezoek de website van deze opleiding.

Deze opleiding