Python for Marketing Research and Analytics

Name: Python for Marketing Research and Analytics
Brand: Springer International Publishing
SKU: 9783030497194
Price: 378.33 RON
Availability: InStock

Autor: Elea McDonnell Feit, Chris Chapman

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Legare: Copertă tare

Editura: Springer International Publishing

Disponibilitate: În depozitul extern

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378.33 lei

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

Informații despre carte

Autor

Elea McDonnell Feit, Chris Chapman

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2020

Pagini

284

EAN

9783030497194

ISBN

3030497194

Enbook ID

33369748

Editura

Springer International Publishing

Greutate

952

Dimensiuni

215 x 285 x 21

Descriere completă

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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Python for Marketing Research and Analytics

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