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UID:news-26664@www-t3-1.b-tu.de:51201
SUMMARY:Online Workshop: Introduction to Statistical Data Analysis with Python (EN)
DESCRIPTION:Target Group\nPhD students and postdoctoral researchers of all research areas\nContent\nThis workshop provides a comprehensive introduction to the Python programming language for doctoral and postdoctoral researchers from various disciplines. Participants will gain a solid understanding of statistical data analysis methods and learn how to apply them with Python. They will also learn how to use the Python extension Matplotlib to visualise data and results.\nThe workshop alternates between content input and practical exercises. The practical exercises take place in small groups ("pair programming"). Active participation is essential.\nYou do not need to know how to write code or do statistics to attend this workshop. It is also suitable for doctoral students outside the STEM subjects. To ensure everyone gets an easy introduction and that we can adapt the methods and examples to suit your needs, we need to know what you already know and what subject you are studying. For this purpose, you will receive a link to fill out this survey before the workshop.\nThe workshop uses the online environment Codeanywhere. You must create an account on codeanywhere.com in advance. Unfortunately, accessing Codeanywhere from the Eduroam network without problems is not always possible. Please check this in advance and ensure that you can use Codeanywhere.\nTrainer – Dr. Lea Schönberger\nLea Schönberger is a freelance science communicator who focuses on computer science and new technologies. She studied Computer Science with a minor in Latin at the University of Münster and Computer Science at the Technical University of Dortmund, where she completed her doctorate in August 2023. She is currently enrolled as a Comparative Literature and Classical Philology student at the Ruhr University Bochum.\nDate\n 	7 November 2024, 09:00 - 12:00 + 13:00 - 17:00 h \nRegistration\nPlease register via the »Graduates Virtual Campus«: www.b-tu.de/elearning/graduates
LOCATION:Eine Woche vor Kursbeginn erhalten Sie den Einwahl-Link für die Veranstaltung. Melden Sie sich über das GRS-Kursportal an.
DTSTAMP;TZID=Europe/Berlin:20241107T090000
DTSTART;TZID=Europe/Berlin:20241107T090000
DTEND;TZID=Europe/Berlin:20241107T170000
URL:https://www.b-tu.de/news/artikel/26664-default-6523b838c7
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