BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Python for MBAs

Python for MBAs

Python for MBAs
Stock photo: cover may vary

Python for MBAs Paperback - 2021

by Griffel, Mattan; Guetta, Daniel

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Columbia Business School Publishing, 2021-05-04. paperback. Good. 7x0x9. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking
Ask the seller a question Add to wish list
A$101.35
A$5.65 Delivery within USA
Standard delivery: 4 to 14 days
More delivery options
Ships from SGS Trading Inc (New Jersey, United States)

Details

  • Title Python for MBAs
  • Author Griffel, Mattan; Guetta, Daniel
  • Binding Paperback
  • Condition Used - Good
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher Columbia Business School Publishing
  • Publication date 2021-05-04
  • Features Bibliography, Index, Maps
  • Bookseller's Inventory # SKU0577412
  • ISBN 9780231193931 / 0231193939
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 9.9 x 6.9 x 1.1 in (25.15 x 17.53 x 2.79 cm)
  • Size 7x0x9
  • Category Business / Economics / Finance
  • Library of Congress subjects Python (Computer program language), Business - Data processing
  • Library of Congress Catalogue Number 2020032750
  • Dewey Decimal Code 005.133
  • Quantity available 2

About SGS Trading Inc New Jersey, United States

Specialising in: Reference Books, Textbook
Biblio member since 2009

Textbook and Reference Books Discounted

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from SGS Trading Inc

Reader reviews for Python for MBAs

From the publisher

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 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.

tracking-