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Introduction to Data Science (for not-yet scientists)

Name: Introduction to Data Science (for not-yet scientists)
Creator: Huber, Florian
Keywords: 4. Education

descriptionPublicationkeyboard_double_arrow_right Book 01 Jan 2023Embargo end date: 05 Nov 2023 English Publisher:Zenodo

Authors: Huber, Florian;

doi: 10.5281/zenodo.10074475 , 10.5281/zenodo.10204171 , 10.5281/zenodo.10781822 , 10.5281/zenodo.12526431 , 10.5281/zenodo.11190827 , 10.5281/zenodo.11499835 , 10.5281/zenodo.10805527 , 10.5281/zenodo.11047752

Introduction to Data Science (for not-yet scientists)

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Abstract

Introductory data science course with strong focus on hands-on examples using Python. The online version of this book can be found here: https://florian-huber.github.io/data_science_course/book/intro.html All materials and source code to render the book can be found on GitHub: https://github.com/florian-huber/data_science_course

Related Organizations

Hochschule Düsseldorf University of Applied Sciences
Germany

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Hands-on Introduction to Data Science with Python
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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average