Python for Marketing Research and Analytics (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	November 2021
First published:	2020
Authors:	Jason S. Schwarz • Chris Chapman • Elea McDonnell Feit
Dimensions:	279 x 210mm (L x W)
Format:	Paperback
Pages:	272
Edition:	1st ed. 2020
ISBN-13:	978-3-03-049722-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	3-03-049722-4
Barcode:	9783030497224

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