Description
Product ID: | 9780367744519 |
Product Form: | Paperback / softback |
Country of Manufacture: | GB |
Series: | Chapman & Hall/CRC The Python Series |
Title: | Statistics and Data Visualisation with Python |
Authors: | Author: Jesus Rogel-Salazar |
Page Count: | 516 |
Subjects: | Probability and statistics, Probability & statistics, Information technology: general topics, Mathematical and statistical software, Programming and scripting languages: general, Software Engineering, Databases, Computer architecture and logic design, Information visualization, Information technology: general issues, Mathematical & statistical software, Programming & scripting languages: general, Software Engineering, Databases, Computer architecture & logic design, Information visualization |
Description: | Select Guide Rating 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. 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. |
Imprint Name: | Chapman & Hall/CRC |
Publisher Name: | Taylor & Francis Ltd |
Country of Publication: | GB |
Publishing Date: | 2023-01-31 |