Statistics and Data Visualisation with Python

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Bibliographic Details
Title: Statistics and Data Visualisation with Python
Description: 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.
Authors: Jesus Rogel-Salazar
Resource Type: eBook.
Subjects: Information visualization, Python (Computer program language), Mathematical statistics--Data processing
Categories: SOCIAL SCIENCE / Statistics, BUSINESS & ECONOMICS / Statistics, COMPUTERS / Software Development & Engineering / Computer Graphics, COMPUTERS / Programming / Games, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Languages / General, COMPUTERS / Languages / Python, COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General, COMPUTERS / Data Science / Data Visualization
Database: eBook Index
Description
Abstract: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.
ISBN:9780367744519
9780367749361
9781000798388
9781000798401
9781003160359