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Python for Marketing Research and Analytics (Paperback, 1st ed. 2020)
Loot Price: R1,803
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Python for Marketing Research and Analytics (Paperback, 1st ed. 2020)
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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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