Statistics and data visualisation with python
Material type:
TextSeries: Chapman & Hall/CRC Press the python seriesPublication details: Boca Raton, FL : CRC Press, 2023. Description: xxxviii, 515 pages : illustrations ; 25 cmISBN: 9780367744519Subject(s): Mathematical statistics -- Data processing | Python (Computer program language) | Information visualizationAdditional physical formats: Online version:: Statistics and data visualisation with Python.DDC classification: 519.22 Online resources: Table of content | Reviews 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 who 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.
| Item type | Current library | Call number | Status | Date due | Barcode |
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NISER LIBRARY | 519.22 ROG-S (Browse shelf(Opens below)) | Available | 25731 |
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| 519.22 MOO-I Introduction to the theory of statistics | 519.22 MUR-M Maker-breaker percolation game | 519.22 PRA-F First course in probability and statistics | 519.22 ROG-S Statistics and data visualisation with python | 519.22 ROS-I Introductory statistics | 519.22 ROS-S Introduction to probability and statistics forengineers and scientists | 519.22 ROS-S Introduction to probability and statistics forengineers and scientists |
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 who 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.
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