Authors:
- Advance your career in any field by learning Python from scratch
- Learn how to build predictive models with Python
- Understand how you can solve real life problems with Python
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Python, the most in-demand skill by employers, can be learned in a matter of months and a working knowledge will help you to advance your career. This book will teach you to crunch numbers, analyze big-data, and switch from spreadsheets to a faster and more efficient programming language. You'll benefit from the numerous real-life examples designed to meet current world challenges and from step-by-step guidance to become a confident Python user.
Python is used in all aspects of financial industry, from algo trading, reporting and risk management to building valuations models and predictive machine learning programs. Basic Python for Data Management, Finance, and Marketing highlights how this language has become a useful skill with digital marketers, allowing them to analyze data more precisely and run more successful campaigns.
What You'll Learn
- Get started with Python from square one
- Extend what's possible on excel with Python
- Automate tasks with Python
- Analyze data more precisely
Who This Book Is For
Professionals who want to find a job in the modern world or advance their careers within field of Python programming language.
Authors and Affiliations
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South Amboy, USA
Art Yudin
About the author
Bibliographic Information
Book Title: Basic Python for Data Management, Finance, and Marketing
Book Subtitle: Advance Your Career by Learning the Most Powerful Analytical Tool
Authors: Art Yudin
DOI: https://doi.org/10.1007/978-1-4842-7189-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Art Yudin 2021
Softcover ISBN: 978-1-4842-7188-9Published: 07 September 2021
eBook ISBN: 978-1-4842-7189-6Published: 06 September 2021
Edition Number: 1
Number of Pages: XI, 320
Number of Illustrations: 222 b/w illustrations
Topics: Python