Custom cover image
Custom cover image

Statistics and data visualisation with Python / Jesús Rogel-Salazar

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Chapman & Hall/CRC Press the python seriesPublisher: Boca Raton, FL : CRC Press, 2023Edition: First editionDescription: 1 Online-RessourceISBN:
  • 9781000798388
  • 9781003160359
  • 9781000798401
  • 1000798402
Subject(s): Additional physical formats: 9780367744519. | 9780367749361. | Erscheint auch als: Statistics and data visualisation with Python. Druck-Ausgabe First edition. Boca Raton, FL : CRC Press, 2023. xxxviii, 515 SeitenDDC classification:
  • 519.50285/5133
RVK: RVK: ST 250LOC classification:
  • QA276.45.P98
Online resources: Summary: "This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers that have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics, and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications"--PPN: PPN: 1882634977Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
No physical items for this record
KIT – The University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT