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Python for Business Analytics
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Python for Business Analytics : Unlocking Data Insights for Strategic Decision-Making

Book Details

Format Hardback or Cased Book
ISBN-10 9819682908
ISBN-13 9789819682904
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 15th, 2025
Print length 280 Pages
Weight 644 grams
Dimensions 16.00 x 24.20 x 2.20 cms
Ksh 8,100.00
Publisher Out of Stock 0 in stock

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This book provides a thorough introduction to Python, specifically designed for those in business analytics. The content is structured to help readers build a strong foundation in Python, essential for success in data science and business analytics.
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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