Denmark, Aarhus

Intensive Introduction to Data Science in Python

when 6 July 2020 - 24 July 2020
language English
duration 3 weeks
credits 10 EC
fee EUR 687

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. Recently, a particular set of machine learning techniques, called deep learning, has advanced and contributed to scientific results beyond human capabilities.

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. The aim is to introduce relevant tools applied for data wrangling/data munging, preprocessing, modeling and testing in python. The demand for python skills remains increasing as python provides wide possibilities of data processing and in particular data analysis using state-of-the-art techniques.

During this class, students learn about python from scratch, handling data and effective deep learning techniques and algorithms provided by scientific packages for python. Students gain practice coding and implementing these algorithms for themselves.

Course leader

Nick Rishøj Danmand

Target group

Master's level

Fee info

EUR 687: Exchange students: No Fee

Freemovers, EU/EEA: 687 EUR

Freemovers, NON-EU/EEA: 1717 EUR

Books, course materials, social programme, and housing are not included in the fee.

Scholarships

No scholarships available

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