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Statistics and data visualisation with Python / Dr. Jesus Rogel-Salazar.

By: Material type: TextTextSeries: Chapman & Hall/CRC Press the python seriesPublisher: Boca Raton : CRC Press, Taylor & Francis Group, ©2023Edition: First editionDescription: xxxviii, 515 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367749361 (hardback)
  • 9780367744519 (paperback)
Subject(s): Additional physical formats: Online version:: Statistics and data visualisation with Python.DDC classification:
  • 519.502855
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"-- Provided by publisher
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Holdings
Item type Current library Collection Call number Status Notes Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad Ground Floor Books 519.502855 SAL-S 63307 (Browse shelf(Opens below)) Available Paperback. 10001000063307
Total holds: 0

Includes bibliographical references and index

"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"-- Provided by publisher

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