Courses Bachelor Display 2025-2026
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| Course title | Data Science | |||||||||||||||||||||||||||||||||||||||
| Course code | BENC2011 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 5,0 | |||||||||||||||||||||||||||||||||||||||
| Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
| Period |
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| Level | Introductory | |||||||||||||||||||||||||||||||||||||||
| Coordinator |
Rohan Nanda For more information: r.nanda@maastrichtuniversity.nl |
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| Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
| Goals |
Learn about the data science lifecycle;
* Apply Python as a programming language to perform data analysis tasks; * Become acquainted with the data manipulation process and how to achieve this in Python; * Get introduced to basic machine learning algorithms and their applications, network science techniques for modeling, analyzing and reasoning about relationships between entities * Understand and apply data interpretation and visualization tools |
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| Description |
This course offers a practical introduction to data science, beginning with Python fundamentals and progressing through data processing with Pandas—from basic manipulations to cleaning and refining datasets. You'll learn to explore data, extract insights through exploratory analysis, and apply machine learning methods like classification and regression. Through hands-on projects, you'll develop the skills to gather, prepare, and analyze real-world data, enabling you to build effective data-driven solutions.
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| Literature |
Weekly readings would be provided during the course.
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| Prerequisites |
BENC1002 Calculus
BENC1004 Linear Algebra |
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| Teaching methods (indicative; course manual is definitive) | PBL / Presentation / Lecture / Assignment / Groupwork / Skills | |||||||||||||||||||||||||||||||||||||||
| Assessment methods (indicative; course manual is definitive) | Participation / Oral Exam / Assignment / Presentation | |||||||||||||||||||||||||||||||||||||||
| Evaluation in previous academic year | For the complete evaluation of this course please click "here" | |||||||||||||||||||||||||||||||||||||||
| This course belongs to the following programmes / specialisations |
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