Maastricht Summer School | Introduction to Data Science
This course will make use of lectures and practical assignments organised as follows:
- Lecture: Introduction to data science
- Practical: Introduction to programming in Python: This session will give you the basic skills to program in Python. By the end of this session the student will have gained familiarity with programming and will be able to perform simple data processing in Python.
- Lecture: Introduction to data, data manipulation and visualization
- Practical: Data manipulation and visualization: During this session, the steps of data exploration, selection, cleaning and transformation will be performed via a hands-on assignment.
- Lecture: Introduction to Machine Learning
- Practical Machine Learning: In this session students will be shown hands on examples on how to perform a Logistic Regression and how to use Naive Bayes Classifiers.
- Lecture: Responsible Data Science
- Practical: Responsible Data Science: This session will cover how to apply the principles presented in the associated lecture to create data analysis processes that are well-structured, that can be replicated, and that treat sensitive data appropriately.
Course Duration and Dates
This is a two week course running from the 14th of June until the 25th of June, 2021. The assignment will take place on Monday 28 and Tuesday 29 June. The course will take place online.
The number of credits earned after successfully concluding this course is the equivalent of 4 ECTS according to Maastricht University’s guidelines. For further information see the MSS terms and conditions.
- Getting familiar with the data science lifecycle;
- Using Python as a programming language to perform data analysis tasks;
- Becoming familiar with the data manipulation process and how to achieve this in Python;
- Getting introduced to basic machine learning algorithms and in their application;
- Understanding data interpretation and visualization tools;
- Understanding responsibly principles in data science projects.
Dr. Visara Urovi together with: Dr. Linda Rieswijk, Thales Bertaglia and Dr Alfonso de la Vega.
- Familiarity with datasets (e.g., in Excel)
- Being Tech-savvy
The course is entirely self-contained. Slides and python notebooks will be provided. To make use of Python Notebooks you will be instructed how to set up python in your device.
Visit the Maastricht Summer School website to apply.
CWI researcher Peter Boncz has been appointed as one of the 2022 fellows of the Association of Computing Machinery (ACM).
The ADS Thesis Award winners for 2022 are Philipp Sommerhalter and Sarah Kwakkelaar in the BSc category and Krijn Doekemeijer and Julia Sudnik for the MSc category. The winners were announced at the ADS Highlights Event on the 8th of December 2022!
A symposium entitled ‘From Systems and Networks to Complex Cyber Infrastructures’ took place on 9th December 2022 in honor of Cees de Laat (UvA IvI) and Leon Gommans (UvA IvI).