Introduction to Python for Data Science
Inhalte
Data is the oil of the 21st century and programming and analytical skills are at the core in many professions. Focusing on the 2 areas of programming and data management this course teaches the basics of Python in the context of data science applications. From the installation, the essential objects and programming basics to simple analyses the participants will get all the prerequisites to write their first applications in Python. The course focuses also on the Pandas library which is considered a key tool to perform statistical data analysis in Python.
Anmerkung(en)
You can register for the event one month before the event starts from 9am.
Leitung
Andreas Wygrabek
Teilnahmekreis
PostDocs, Promovierende
Themenbereich
Microsoft Office und weitere IT Anwendungen
Voraussetzungen
- Python (Anaconda distribution) in current version (the development environments 'Jupyter Notebooks' and 'Spyder' should be set up; Python should be entered in the environment variables - this can already be done during installation). Download at: https://www.anaconda.com/
- PyCharm in current version (license free community version). Download at: https://www.jetbrains.com/pycharm/download/#section=windows
