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Introduction to Data Science in Python

Today artificial intelligence and machine learning can be applied to support businesses in a range of areas, such as advanced email filtering, speech and image recognition and recommendation systems to provide personalized guidance. By analyzing data using machine learning techniques, one can provide better insight and solid foundations for decision making. This course focuses on the analysis of data to perform predictions using statistical tools and methods, providing learning capabilities for machines; hence machine- and deep learning.

Find full course description in the course catalogue.    

Exam

 

The grade for the course consists of two parts:

  • Coursework counting app. 40 %
  • 3-hour written exam counting app. 60 %

The written exam is online and presence in Aarhus is not nescessary.

Admission Requirements

Course specific:

A Bachelor's degree in Economics and Business Administration or a related degree.    

General:

Exchange Students: nomination from your home university

Freemovers: documentation for English Language proficiency

You can read more about the admission here.

Lecturer

Nick Rishøj Danmand

nick@nirida.ai  

Nick Danmand is a consultant at Globeteam, Denmark. He is specialized within the fields of Artificial Intelligence, Machine Learning, and Business Intelligence.