Mahadi Hasan Miraz, Narishah Mohamed Salleh, Hwang Ha Jin | Python for Business Analytics. Unlocking Data Insights for Strategic Decision-Making (2025) [PDF]
Автор: Mahadi Hasan Miraz, Narishah Mohamed Salleh, Hwang Ha Jin
Издательство: Springer
ISBN: 978-9819682904
Жанр: Business Intelligence Tools, Python Programming, Computer Programming Languages
Язык: Английский
Формат: PDF
Качество: Изначально электронное (ebook)
Иллюстрации: Цветные и черно-белые
Описание: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.
Chapter 1: Python for Business Analytics: Unlocking Data Insights for Strategic Decision-Making
Chapter 2: Basics of Python Programming
Chapter 3: Data Manipulation with Pandas
Chapter 4: Data Visualisation with Matplotlib and Seaborn
Chapter 5: Descriptive Analytics
Chapter 6: Predictive Analytics with Scikit-Learn
Chapter 7: Advanced Analytics and Machine Learning
Chapter 8: Case Studies and Real-World Applications
Chapter 9: Automating Data Analysis with Python
Chapter 10: Best Practices and Future Trends
Chapter 11: Outline of the Study
Chapter 12: Python's Impact on AI and Medicine
Chapter 13: Web-Based Food Recommendation
Chapter 14: RateMyStay
Chapter 15: Integration of AI and Machine Learning
Chapter 16: Automotive Prices Analytics
Chapter 17: Analytics for Tour Package and Recommendation System
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Время раздачи: с 10 до 20 (минимум до появления первых 3-5 скачавших) 
