Introduction
Part I
1. Getting Started with Python
2. Python Basics, Part 1
3. Python Basics, Part 2
4. Python Basics, Part 3
Part II
5. Introduction to Data in Python
6. Exploring, Plotting, and Modifying Data in Python
7. Bringing Together Datasets
8. Aggregation
9. Practice
What’s Next?
Notes
Index
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.
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 use 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*
In the data-driven economy, there is an enormous demand for hybrid
professionals who are simultaneously broad and deep across business
and technical fields. Mattan Griffel and Daniel Guetta have done a
great job providing a practical, step-by-step guide for
commercially minded individuals to upskill quickly in the technical
arena. This will be required reading for all those in my team who
need to rapidly learn fundamental data and analytical skills.
*Afsheen Afshar, founder and CEO, Pilot Wave Holdings
Management*
Business education is changing to prepare MBA students for careers
in the digital age and to provide an understanding of the
technological capabilities and analytics tools driving this digital
transformation. Griffel and Guetta are experts in Python and its
use in business analytics. This book will be an incredible resource
for teaching programming to students in MBA programs and for
business practitioners and managers.
*Costis Maglaras, dean and David and Lyn Silfen Professor of
Business, Columbia Business School*
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