Introduction to Data Science
Short or summer course
Through a combination of hands-on workshops and lectures, this course covers the basics methods and practices of data science projects. The course is designed around the data science lifecycle to show the techniques for handling data and data analysis. You will be exposed to basic programming skills in Python and learn how to select, clean, analyse, visualise, and interpret data.
By following this course, you will have knowledge and insight into
i) differentiating the steps of the data science life cycle;
ii) formulating a data research question
iii) using Python as the programming language to analyse data;
iv) know how basic data analysis algorithms work;
v) drawing conclusions with regard to the data question/hypothesis by interpreting the data.
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Visit course websiteLanguage
English
Title
-
Duration
12 days
ECTS credits
ECTS
The European Credit Transfer and Accumulation System (ECTS) is a student-centred system based on the student workload required to achieve the objectives of a programme of study. Its aim is to facilitate the recognition of study periods undertaken by mobile students through the transfer of credits. The ECTS is based on the principle that 60 credits are equivalent to the workload of full-time student during one academic year.
Accreditation
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Tuition fee
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Admission
Application requirements
Information not availableCheck when you can start and what you have to pay!
| Tuition fees | |
|---|---|
EU/EEAThe EU/EEA rate is the regular fee for students from within the EU/EEA. |
Information not available |
Non-EU/EEAThe non-EU/EEA rate is the rate for students from outside the EU/EEA. |
Information not available |
InstitutionalThe institutional rate is for all students who have already obtained a bachelor’s or master’s degree and who want to start a second programme leading to a degree at the same level or at a lower level. |
Information not available |
| Start date | App. deadline EU/EEA | App. deadline Non-EU/EEA |
|---|---|---|
| 22 Jun '26 | 22 May '26 | 22 May '26 |
Contact
Main addressMinderbroedersberg 4 tot 6
6211 LK Maastricht
043 - 3882222
Ready to apply?
Visit course website