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Introduction to FinTech using Excel = in an R-assisted learning environment /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to FinTech using Excel/ by Yuxing Yan.
Reminder of title:	in an R-assisted learning environment /
Author:	Yan, Yuxing.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxxi, 428 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction and Excel Basics -- Blockchain (I): Numbers and Alphanumeric -- Blockchain (II): ASCII and Sha256 -- Ledge and Distributed Ledger -- Cryptography Basics: public and private keys -- Advanced Cryptography -- Cryptocurrency and Ganache -- Crypto markets, risk and risk-return tradeoff -- Blockchain applications and simulations -- Unsupervised Learning -- Supervised Learning: Classification -- Etc.
Contained By:	Springer Nature eBook
Subject:	Fintech. -
Online resource:	https://doi.org/10.1007/978-3-031-89779-5
ISBN:	9783031897795

Introduction to FinTech using Excel = in an R-assisted learning environment /
Yan, Yuxing.

Introduction to FinTech using Excelin an R-assisted learning environment /[electronic resource] :by Yuxing Yan. - Cham :Springer Nature Switzerland :2025. - xxxi, 428 p. :ill. (some col.), digital ;24 cm. - Springer texts in business and economics,2192-4341. - Springer texts in business and economics..

Introduction and Excel Basics -- Blockchain (I): Numbers and Alphanumeric -- Blockchain (II): ASCII and Sha256 -- Ledge and Distributed Ledger -- Cryptography Basics: public and private keys -- Advanced Cryptography -- Cryptocurrency and Ganache -- Crypto markets, risk and risk-return tradeoff -- Blockchain applications and simulations -- Unsupervised Learning -- Supervised Learning: Classification -- Etc.

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.

ISBN: 9783031897795

Standard No.: 10.1007/978-3-031-89779-5doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

3785959
Fintech.

LC Class. No.: HG173

Dewey Class. No.: 332.0285

Introduction to FinTech using Excel = in an R-assisted learning environment /
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505 0 $a Introduction and Excel Basics -- Blockchain (I): Numbers and Alphanumeric -- Blockchain (II): ASCII and Sha256 -- Ledge and Distributed Ledger -- Cryptography Basics: public and private keys -- Advanced Cryptography -- Cryptocurrency and Ganache -- Crypto markets, risk and risk-return tradeoff -- Blockchain applications and simulations -- Unsupervised Learning -- Supervised Learning: Classification -- Etc.
520 $a 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.
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