Springer Texts in Business and Economics: In an R-assisted Learning Environment

Yan, Yuxing

This book serves as a bridge, leveraging the familiarity of Excel and the power of R to make FinTech accessible to all. Financial Technology (FinTech) has revolutionized areas once dominated by traditional finance. However, the need to learn a programming language often creates a barrier for many learners.

Excel-based learning builds confidence with tools that are already familiar to advanced students, while minimal R programming is required—no prior R skills needed, just two simple lines of code. Hidden functions unlock powerful FinTech capabilities with ease.

With this book, students can learn to generate public and private keys effortlessly,create a Hash for any given phrase, use the Merkle Tree to combine 100 transactions into a block's Hash, develop QR codes for websites or public keys, verify (x,y) values on the Elliptic curve for cryptography, and run models for both Unsupervised and Supervised Learning.

The book includes definitions, exercises, and solutions for students to develop the skills to navigate and excel in the world of FinTech.

Details

Published by: Springer

Publication Date: 2025-07-21

Format: Hardcover

ISBN-13: 9783031897788

DOI: 10.1007/978-3-031-89779-5

Dimensions: 235cm x155cm

Pages: 428