Ascending Econometrics: Data-Driven Decision Making in the Real World

By: Kayanda, Leon

Ascending Econometrics: Data Driven Decision Making in the Real World is not just a textbook-it's a movement. Designed for secondary and pre-university students, this groundbreaking book blends rigorous economic theory, real-world business insight, and cutting-edge technology to create a world-class learning experience like no other.

Built around the inspiring case study of Ascendium Global Holdings, this text transforms econometrics from a complex academic subject into a compelling, purpose-driven journey. Readers explore traditional models, cutting-edge innovations like AI, blockchain, and DeFi, and master essential Python-based skills to solve real economic challenges.

Each chapter is a carefully crafted blend of:

Engaging narratives rooted in purpose and global impactHands-on Python exercises to develop real data science fluencyAscendium-inspired case studies to connect learning with legacyEthical and spiritual insights to shape thinkers of character and conviction

Whether you're a student, teacher, innovator, or dreamer, this book is your blueprint to rise beyond numbers-and build a future where economic wisdom, technological mastery, and moral clarity converge.

The future of economics has arrived. And it's waiting for you to ascend.

• Format: Paperback
• Language: English
• ISBN: B0F4P9FD6P
• ISBN13: 9798319194558
• Release Date: April 2025
• Publisher: Independently Published
• Length: 188 Pages
• Weight: 0.57 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"