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Department

School of Business

Document Type

Book

Abstract

This open electronic textbook is a collection of lecture notes, assignments, and additional background material for a junior level analytics course targeted for business students, it is free to use and copy. The text assumes readers have not had prior programming or computing courses, but have had at least one analytics course. The textbook differs from other textbooks because it serves a dual purpose, to first introduce to students the Python programming language and secondly to introduce analytics programming in Python. It is not meant to be a comprehensive book on the Python language or data analytics, rather a semester’s worth of lessons to take business data analytics students with no Python knowledge to a point where they can competently manipulate, explore, and analyze data using Python. Data sets used in this text are available upon request from hbrown11@atu.edu. Solutions to practice problems are found in Appendix A.

Publication Date

7-2024

City

Russellville, Arkansas

Creative Commons License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Introduction to Programming and Applied Analytics Using Python

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