Python for Managers (Online)
This program is suitable for professionals who are interested in learning practical coding skills that allow them to leverage large amounts of data in order to make better business decisions.
“There are two kinds of people: those who understand technology and those who don’t. People who understand technology can design and control the very structure of the world around them. People who don’t understand it are controlled by those who do.”
Mattan GriffelThe program's Faculty Co-Director
Hear from the faculty directors about the program.
Python Fundamentals Part 1
- Review Evolution and Purpose of Python
- Understanding Your Development Environment
- Customizing Your Command Line and Practicing Command Line Prompts
- Start Building a Mental Map of Python Concepts
- Practice Coding with Basic Python Scripts
Adjunct Assistant Professor of Business
Decision, Risk, and Operations
Mattan Griffel is an adjunct professor and Y Combinator-backed entrepreneur. A co-founder of One Month, which offers online bootcamps for coding, Griffel has experience teaching business professionals who want to expand their technical skills. Forbes selected him as one of the 30 Under 30 in Education. In addition to programming and code, Griffel has taught entrepreneurship and online education. Among the companies he has advised are Pepsico, Bloomberg, GM, NYSE, and JP Morgan. He studied philosophy and finance at New York University, where he wrote his thesis on the metaphysics of consciousness.
Associate Professor of Professional Practice
Columbia Business School
Daniel Guetta is an associate professor of Professional Practice at Columbia Business School and Director of the Business Analytics Initiative at the Columbia Business School and Columbia Engineering. His research focuses on the ways companies can harness the power of data and analytics to drive value. He teaches classes in business analytics, including data science, pricing, supply chain management, and technical tools such as Python and cloud computing.
Guetta has authored award-winning case studies in the area with a number of companies and co-authored Python for MBAs. He was the 2020 recipient of the Singhvi Prize for Scholarship in the classroom. Prior to joining the faculty at Columbia Business School, he was a data scientist and engagement manager at Palantir Technologies, where he worked with clients around the world in fields ranging from finance to pharmaceuticals to help them solve their hardest problems using data. He completed his undergraduate studies in physics and mathematics at Cambridge and MIT and holds a PhD in Operations Research from the Columbia Business School.
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