Aims

• The student has knowledge of the most prevailing supervised learning methods, knows when and how to use them, can execute them and put them in to practice as well as interpret the results.
• The student has knowledge of the most prevailing unsupervised learning methods, knows when and how to use them, can execute them and put them in to practice as well as interpret the results.

Previous knowledge

The student has a basic knowledge of statistics and data (pre-)processing as well as some working experience with the scripting language Python. This corresponds to the succesfull following of the following courses:

• Data Processing & Analysis (YP0814) or equivalent.
• Scripting (YP0600) or equivalent.

An all-around interest in Data Science as well as experience with relational databases, data visualization and programming will be beneficial but not strictly necessary.

Order of Enrolment

This course unit is a prerequisite for taking the following course units:
YP0572 : Machine Learning & Forecasting
YP0627 : Integrated IMS Lab (No longer offered this academic year)
YP0827 : Artificial Intelligence
YP0852 : Integrated Security & Data Lab (No longer offered this academic year)

Identical courses

This course is identical to the following courses:
YP0607 : Data Science Basics (No longer offered this academic year)
YP0861 : Data Science Fundamentals

Is included in these courses of study

• Bachelor of International Business Management - English Programme (Mechelen) (Data Science, Protection & Security - Start September) 180 ects.
• Bachelor of Information Management and Multimedia: Specialisation Data Science, Protection and Security - English Programme - Fading (Mechelen) 180 ects.