Courses Exchange Display 2022-2023

Course Description To PDF
Course title Data Science
Course code BENC2011
ECTS credits 5,0
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
5 17-4-2023 9-6-2023 X X L
Level Introductory
Coordinator Adriana Iamnitchi
For more information: a.iamnitchi@maastrichtuniversity.nl
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
Description
Data science is an interdisciplinary field concerning scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. This course presents the key four aspects of data science: data acquisition and preparation for investigation (scrapping, wrangling, cleaning, sampling, management) to guarantee high quality and quick and reliable access, exploratory data analysis to generate hypotheses and intuition, modelling based on statistical/machine learning and correct communication of the analysis outcomes through visualisation, storytelling and reporting. Lectures and tutorials emphasise the practical use of these aspects and prepare students for developing real-world data-driven applications.
Literature
Data Science by John D. Kelleher and Brendan Tierney Data Science from Scratch by Joel Grus Python Data Science Handbook by Jake VanderPlas
Prerequisites
BENC1002 Calculus
BENC1004 Linear Algebra
Keywords
Teaching methods (indicative; course manual is definitive) PBL / Presentation / Lecture / Assignment / Papers / Groupwork / Skills
Assessment methods (indicative; course manual is definitive) Final Paper / 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
Bachelor Business Engineering Year 2 Elective Course(s)
SBE Exchange Bachelor Bachelor Exchange Courses
SBE Exchange Master Bachelor Exchange Courses