Introduction to data science and analytics  

This course will examine how data analysis technologies can be used to improve decision-making. The aim is to study the fundamental principles and techniques of data science, and we will examine realworld examples and cases to place data science techniques in context, to develop data-analytic thinking, and to illustrate that proper application is as much an art as it is a science. In addition, this course will work hands-on with the Python programming language and is associated data analysis libraries. Outcome: Not Provided
Presential
English
Introduction to data science and analytics
English

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).