Python for Marketing Research and Analytics

By: Chris Chapman, Jason S. Schwarz, Elea McDonnell Feit

Write A Review

Paperback | 3 November 2021

At a Glance

Paperback
286 Pages

Dimensions(cm)
20.9 x 27.9 x 1.9

Paperback

$99.00

or 4 interest-free payments of $24.75 with

Ships in 5 to 7 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $49.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.