Python started off as a general-purpose programming language, but in the last decade it has become a popular environment for data science. The reason is that the community of Python users have recently created useful add-on packages which are suitable for data manipulation, preparation, visualization and analysis. This practical course introduces both base Python and the most important packages in a hands-on way with many exercises.
The contents of the course are:
The objective of the course is that you are capable of doing data management, visualization and analysis in Python on your own.
Python is an open-source programming language which you can freely download (i.e. the Anaconda distribution). Python version 3 or higher is recommended.
This course targets professionals and investigators from diverse areas with little to no Python-programming experience who wish to start using Python for their data manipulation, data exploration or statistical analysis.
The course is open to all interested persons. Knowledge of basic statistical concepts and experience with other programming languages are considered advantages, but not required for learning the Python language.
There is no exam connected to this module. If you attend all five classes you will receive a certificate of attendance via e-mail at the end of the course.
This is an on campus course. We offer blended learning options if, exceptionally, you can't attend a session on campus.
5 Monday and Thursday evenings in December 2023: December 4, 7, 11, 14 and 18, 2023, from 5.30 pm to 9.30 pm
Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Ghent, Building S9, 3th floor, Classroom 3.4
Acces to Python scripts and data files
A recommended handbook for further study is 'An introduction to statistics with Python' by Haslwanter, Thomas (2016), Vienna: Springer. ISBN 978-3-319-28316-6. Please note that you do not need a copy of this book to follow the course.
The participation fee is 1000 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations.
*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.
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As UGent PhD student you can incorporate this ''specialist course' in your Doctoral Training Program (DTP). To get a refund of the registration fee from your Doctoral School (DS) please follow these strict rules and take the necessary action in time. Open a dossier on the DS website (Application for Registration) for this course.
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Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo
Academy for Lifelong Learning (IPVW)
Faculty of Science