Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
In person
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Intermediate
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Developers
Data Scientists
Language of Instruction
Other Information
Organiser
Supporting Project(s)
EuroCC2/CASTIEL2
Event/Course Description
Python is one of the dominant languages in data science. In this training we will cover a number of modules that are useful for data preparation, analyzing data, visualization, and machine learning.
Subject and Python modules that will be covered:
- representing, transforming & querying data: pandas
- visualization: seaborn
- parsing data & regular expressions
- machine learning: scikit-learn, keras
Previous knowledge
Experience in Python programming.