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Python for business analytics = unlo...

Miraz, Mahadi Hasan.

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Python for business analytics = unlocking data insights for strategic decision-making /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Python for business analytics/ by Mahadi Hasan Miraz, Narishah Mohamed Salleh, Hwang Ha Jin.
Reminder of title:	unlocking data insights for strategic decision-making /
Author:	Miraz, Mahadi Hasan.
other author:	Mohamed Salleh, Narishah.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xviii, 280 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1007/978-981-96-8291-1
ISBN:	9789819682911

Python for business analytics = unlocking 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

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

729789
Python (Computer program language)

LC Class. No.: HD30.23

Dewey Class. No.: 658.403

Python for business analytics = unlocking data insights for strategic decision-making /
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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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