Python for Marketing Research and Analytics

Name: Python for Marketing Research and Analytics
Brand: Springer Nature Switzerland AG
SKU: 9783030497224
Price: 1342 CZK
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Autor: Elea McDonnell Feit, Chris Chapman

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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This book provides an introduction to quantitative marketing with Python. The book presents a hands-...

Informace o knize

Autor

Elea McDonnell Feit, Chris Chapman

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

272

EAN

9783030497224

ISBN

3030497224

Enbook ID

37363291

Vydavatel

Springer Nature Switzerland AG

Hmotnost

705

Rozměry

210 x 279 x 16

Kompletní popis

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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