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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.
ABOUT THE AUTHOR
Mattan Griffel is an award-winning adjunct professor at Columbia Business School. He is also a two-time Y Combinator–backed entrepreneur and the cofounder of One Month and Ophelia.
Daniel Guetta is a senior lecturer in the Decision, Risk, and Operations Division at the Columbia Business School and the director of the Columbia Business Analytics Initiative.
"Business leaders everywhere increasingly need top technology and data skills to stay competitive. Mattan Griffel and Daniel Guetta bring Python to life through clear and compelling stories and case studies, showing you how to bring the power of variables, strings, and lists to immediately help your business and analytics. "
--Glenn Hubbard, Dean Emeritus and Russell L. Carson Professor of Finance and Economics, Columbia Business School