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Master Data Science: Unterschied zwischen den Versionen
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There could be 2-4 core areas that the study is covering mostly; this will typically cover different structures in the study plan. | There could be 2-4 core areas that the study is covering mostly; this will typically cover different structures in the study plan. | ||
Here is an example: Track "Machine Learning, Statistics, Data Visualization" | Here is an example: | ||
== Track "Machine Learning, Statistics, Data Visualization" == | |||
The classes taken from Extension Modules and free electives were meant to cover these areas as well as possible. | The classes taken from Extension Modules and free electives were meant to cover these areas as well as possible. | ||
The overarching theme is to analyse data with statistical methods, build (machine learning) models, and visualize data in exploratory phases, as well as being able to present results using visualizations | The overarching theme is to analyse data with statistical methods, build (machine learning) models, and visualize data in exploratory phases, as well as being able to present results using visualizations tailored to a non-technical audience. | ||
[[Kategorie:Studienplanung]] | [[Kategorie:Studienplanung]] | ||