Non-Fiction Books:

Python for MBAs

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Hardback
Python for MBAs by Mattan Griffel
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Description

From the ads that track us to the maps that guide us, the twenty-first century runs on code. The business world is no different. Programming has become one of the fastest-growing topics at business schools around the world. An increasing number of MBAs are choosing to pursue careers in tech. For them and other professionals, having some basic coding knowledge is a must. This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. One of the most popular programming languages, Python is used for tasks such as building and running websites, data analysis, machine learning, and natural-language processing. Drawing on years of experience providing instruction in this material at Columbia Business School as well as extensive backgrounds in technology, entrepreneurship, and consulting, Mattan Griffel and Daniel Guetta teach the basics of programming from scratch. Beginning with fundamentals such as variables, strings, lists, and functions, they build up to data analytics and practical ways to derive value from large and complex datasets. They focus on business use cases throughout, using the real-world example of a major restaurant chain to offer a concrete look at what Python can do. Written for business students with no previous coding experience and those in business roles that include coding or working with coding teams, Python for MBAs is an indispensable introduction to a versatile and powerful programming language.

Author Biography

Mattan Griffel is an award-winning adjunct assistant professor at Columbia Business School. He is also a two-time Y Combinator-backed entrepreneur and the cofounder of Ophelia and One Month. He has taught at and advised companies such as Bloomberg, JPMorgan, American Express, and PepsiCo. He studied philosophy and finance at New York University. Daniel Guetta is associate professor of professional practice at Columbia Business School and the director of the Columbia Business Analytics Initiative. He has consulted with companies around the world in fields ranging from finance to pharmaceuticals to help them solve their hardest problems using data. He studied physics and mathematics at the University of Cambridge and MIT and holds a PhD in operations research from Columbia University.
Release date NZ
April 30th, 2021
Audience
  • Professional & Vocational
Country of Publication
United States
Illustrations
44 figures
Imprint
Columbia University Press
Pages
368
Dimensions
165x220x25
ISBN-13
9780231193924
Product ID
34025813

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