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Python for Marketing Research and Analytics

Name: Python for Marketing Research and Analytics
Price: 47.97 USD
Availability: InStock
Rating: 4.3 (14 reviews)

4.3 of 5 Stars: Education & Reference - Python for Marketing Research and Analytics

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Book Synopsis: This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics.

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Unlock the power of data-driven marketing with Python for Marketing Research and Analytics. This comprehensive book is the ultimate guide for marketers looking to harness the potential of quantitative analysis. With Python as your tool, you'll be able to tackle real marketing challenges and make data-informed decisions effortlessly.

Featuring easy-to-follow tutorials and hands-on exercises, this book takes you through the entire process of using Python for marketing research. Dive deep into key topic areas, such as customer segmentation, campaign optimization, and predictive modeling, and witness the magic unfold as you apply Python's scientific computing capabilities.

What sets this book apart is its focus on reproducible research. You'll find all the analyses presented in Colab notebooks, bringing together code, figures, tables, and annotations in one convenient file. Feel free to adapt and reuse these notebooks for your own projects, saving time and effort.

Whether you're an experienced marketing researcher seeking to expand your toolkit, a Python-savvy analyst interested in marketing applications, or a marketing student with no programming background, this book is tailored to your needs. No advanced mathematical knowledge is required, as it assumes only a basic familiarity with formal statistics.

Ready to take your marketing game to the next level? Don't miss out on this invaluable resource. Get your copy of Python for Marketing Research and Analytics today.

Click here to order your copy now!

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