Hands-on Introduction to Data Science with Python
- In today’s world, data is generated at an unprecedented pace, and our ability to harness it is changing the way we live, work, and even think. Data science, the interdisciplinary field that blends statistics, computer science, and domain-specific knowledge, empowers us to extract insights from this vast ocean of data. As data science becomes increasingly essential across various industries and sectors, there is a growing need for skilled professionals who can make sense of data and transform it into actionable information. This book is designed to give you a very broad and at the same time a very practical hands-on tour through the full spectrum of data science approaches
| Author: | Florian HuberORCiD |
|---|---|
| open access: | Diamant - ohne Publikationskosten mit Lizenzhinweis |
| Institutes: | Zentrum für Digitalisierung und Digitalität (ZDD) |
| Fachbereich/Einrichtung: | Hochschule Düsseldorf / Fachbereich - Medien |
| Document Type: | Book |
| Year of Completion: | 2024 |
| Language of Publication: | English |
| Publisher: | Zenodo |
| Edition: | v0.21 |
| Page Number: | 365 |
| URN: | urn:nbn:de:hbz:due62-opus-49548 |
| DOI: | https://doi.org/10.5281/zenodo.10074474 |
| GND Keyword: | Data Science; Python (Programmiersprache); Lehrmittel |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Licence (German): | Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International |
| Release Date: | 2025/01/24 |
| Note: | The DOI represents all versions, and will always resolve to the latest one. 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 |
