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Python for business analyticsunlocking data insights for strategic decision-making /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Python for business analyticsby Mahadi Hasan Miraz, Narishah Mohamed Salleh, Hwang Ha Jin.
其他題名:	unlocking data insights for strategic decision-making /
作者:	Miraz, Mahadi Hasan.
其他作者:	Mohamed Salleh, Narishah.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xviii, 280 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Python (Computer program language)
電子資源:	https://doi.org/10.1007/978-981-96-8291-1
ISBN:	9789819682911$q(electronic bk.)

Python for business analyticsunlocking data insights for strategic decision-making /
Miraz, Mahadi Hasan.

Python for business analyticsunlocking data insights for strategic decision-making /[electronic resource] :by Mahadi Hasan Miraz, Narishah Mohamed Salleh, Hwang Ha Jin. - Singapore :Springer Nature Singapore :2025. - xviii, 280 p. :ill. (some col.), digital ;24 cm.

Python for business analytics unlocking data insights for strategic decision making -- Basics of python programming -- Data manipulation with pandas -- Data visualization with matplotlib and seaborn -- Descriptive analytics -- Predictive analytics with scikit learn -- Advanced analytics and machine learning -- Case studies and real world applications -- Automating data analysis with python -- Best practices and future trends -- Outline of the study -- Pythons impact on ai and medicine -- Web based food recommendation -- Rate my stay -- Integration of ai and machine learning -- Automotive prices analytics -- Analytics for tour package recommendation system.

This book provides a thorough introduction to Python, specifically designed for those in business analytics. It starts with the fundamentals of Python and gradually covers more advanced topics, including data manipulation, visualization, and analytics techniques. The content is structured to help readers build a strong foundation in Python, essential for success in data science and business analytics. The book also features real-world case studies and practical examples, demonstrating how Python can be applied in business decision-making. These insights make it a valuable resource for students and professionals who want to use Python to solve real business problems. Python's importance in today's data-driven industries cannot be overstated. Proficiency in this programming language enhances the ability to tackle complex challenges and supports strategic decision-making. For organizations, Python enables the setting of data-driven goals, improved performance, and the fostering of continuous learning. Its open-source nature and wide range of online resources make it accessible to everyone, ensuring that users are equipped with the skills needed in a rapidly evolving workplace. This book serves as a comprehensive guide for those aiming to excel in the field of business analytics through the effective use of Python.

ISBN: 9789819682911$q(electronic bk.)

Standard No.: 10.1007/978-981-96-8291-1doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

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520 $a This book provides a thorough introduction to Python, specifically designed for those in business analytics. It starts with the fundamentals of Python and gradually covers more advanced topics, including data manipulation, visualization, and analytics techniques. The content is structured to help readers build a strong foundation in Python, essential for success in data science and business analytics. The book also features real-world case studies and practical examples, demonstrating how Python can be applied in business decision-making. These insights make it a valuable resource for students and professionals who want to use Python to solve real business problems. Python's importance in today's data-driven industries cannot be overstated. Proficiency in this programming language enhances the ability to tackle complex challenges and supports strategic decision-making. For organizations, Python enables the setting of data-driven goals, improved performance, and the fostering of continuous learning. Its open-source nature and wide range of online resources make it accessible to everyone, ensuring that users are equipped with the skills needed in a rapidly evolving workplace. This book serves as a comprehensive guide for those aiming to excel in the field of business analytics through the effective use of Python.
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