Python for Marketing Research and Analytics

Python for Marketing Research and Analytics

Jason S. Schwarz , Chris Chapman , Elea McDonnell Feit
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Nov 3, 2020 · 英语 · 精装书 (283 页数)
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书籍详情

格式 精装书
页数 283
语言 英语
已发布 Nov 3, 2020
出版商 Springer
版本 1st ed. 2020
ISBN-10 3030497194
ISBN-13 9783030497194

描述

This insightful guide presents a fascinating intersection of programming and marketing, tailored for professionals eager to leverage data for informed decision-making. Drawing on the expertise of accomplished authors, the book explores Python as a powerful tool in the realm of marketing research and analytics. It demystifies complex concepts, making them accessible to readers regardless of their technical background.

By combining theory with practical applications, it walks readers through the critical aspects of analyzing consumer behavior and market trends using Python. Both seasoned marketers and newcomers can benefit from taught techniques for optimizing campaigns and predicting customer preferences. The narrative serves to not only enhance technical proficiency but also to inspire creative problem-solving.

As the digital landscape evolves, this resource stands out as an essential companion for anyone looking to harness the potential of data analytics in their marketing strategies. The collaborative approach of the authors offers diverse perspectives, enriching the reader's understanding of the subject.
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