Statistics and Data Visualisation with Python (Paperback)

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.

這本書旨在為對數據科學和分析以及統計分析有興趣的研究生和商業從業人員提供統計學的橋樑。一方面，本書旨在為那些修過一些統計學課程但在日常工作中並未使用統計學的讀者提供複習。另一方面，本書的內容也適合對統計學在Python中的應用感興趣的讀者作為首次接觸統計工作的入門。

《統計與Python數據可視化》旨在通過使讀者理解推論統計學背後的思想，並開始構建形成統計分析、商業分析、機器學習和應用機器學習應用和算法基礎的假設，從頭開始建立統計知識。本書從Python編程和數據分析的基礎開始，幫助讀者建立堅實的統計方法和假設檢驗基礎，這在許多現代應用中都非常有用。

Dr. Jesús Rogel-Salazar is an accomplished technologist with over 20 years' experience in the area of data science and machine learning. He obtained his PhD in quantum atom optics at Imperial College in the group of Professor Geoff New and in collaboration with the Bose-Einstein Condensation Group in Oxford with Professor Keith Burnett. After completion of his doctorate, he worked in the Centre for Cold Matter at Imperial and moved on to the Department of Mathematics in the Applied Analysis and Computation Group. Further to his academic career, Dr. Rogel-Salazar has held positions as a data scientist with AKQA, IBM Data Science Studios, Barclays, Dow Jones, Prudential and Tympa Health Technologies. He is the author of three books published with CRC Press; the latest two are entitled Data Science and Analytics with Python and Advanced Data Science and Analytics with Python.

Dr. Jesús Rogel-Salazar是一位在數據科學和機器學習領域擁有超過20年經驗的傑出技術專家。他在英國帝國理工學院帶領Geoff New教授的團隊，與牛津大學的Keith Burnett教授合作，獲得了量子原子光學博士學位。在完成博士學位後，他在帝國理工學院的冷物質中心工作，並轉到應用分析和計算組的數學系。除了學術生涯外，Rogel-Salazar博士還曾在AKQA、IBM數據科學工作室、巴克萊銀行、道瓊斯、保誠和Tympa Health Technologies等公司擔任數據科學家職位。他是CRC Press出版的三本書的作者，其中最新的兩本書名為《使用Python進行數據科學和分析》和《高級數據科學和分析與Python》。