Description: Python for Marketing Research and Analytics, Paperback by Schwarz, Jason S.; Chapman, Chris; Feit, Elea Mcdonnell, ISBN 3030497224, ISBN-13 9783030497224, Like New Used, Free shipping in the US
This book provides an introduction to quantitative marketing with Python. Th 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, th presents all analyses in Colab nots, which integrate code, figures, tables, and annotation in a single file. The code nots for each chapter may be copied, adapted, and reused in ones own analyses. Th 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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Book Title: Python for Marketing Research and Analytics
Number of Pages: Xi, 272 Pages
Language: English
Publication Name: Python for Marketing Research and Analytics
Publisher: Springer International Publishing A&G
Publication Year: 2021
Subject: Mathematical & Statistical Software, Statistics
Type: Textbook
Item Weight: 24.9 Oz
Author: Elea Mcdonnell Feit, Chris Chapman, Jason S. Schwarz
Subject Area: Computers, Social Science, Business & Economics
Item Length: 11 in
Item Width: 8.3 in
Format: Trade Paperback
