Statistics and data visualisation with Python / Dr. Jesus Rogel-Salazar.
Material type: TextSeries: 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
- unmediated
- volume
- 9780367749361 (hardback)
- 9780367744519 (paperback)
- 519.502855
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | Books | 519.502855 SAL-S 63307 (Browse shelf(Opens below)) | Available | Paperback. | 10001000063307 |
Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: Ground Floor, Collection: Books Close shelf browser (Hides shelf browser)
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519.5 AGR-S 63308 Statistics : the art and science of learning from data / | 519.502462 HAY-P 47072 Probability and statistics for engineers and scientists | 519.502855 AGR-F 63284 Foundations of statistics for data scientists : with R and Python / | 519.502855 SAL-S 63307 Statistics and data visualisation with Python / | 519.520 BEG-S 63252 Statistics [Book] Theory and Methods 2. / | 523.1 SIL-S 63053 A short history of the universe / | 530 CUT-P Physics |
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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