Python for marketing research and analytics

Python for marketing research and analytics / Jason S. Schwarz, Chris Chapman, Elea McDonnell Feit.

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Schwarz, Jason S. (Author), Chapman, Chris (Data analyst) (Author), Feit, Elea McDonnell, 1973- (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2020]
Subjects:
Marketing > Data processing.
Marketing research.
Python (Computer program language)
Information visualization.
Python (Lenguaje de programación)
Marketing > Datos-Tratamiento
Information visualization
Marketing > Data processing
Marketing research
Electronic books.
Online Access:Click for online access
Table of Contents:
  • Basics of Python. Welcome to Python
  • An overview of Python
  • Fundamentals of data analysis. Describing data
  • Relationships between continuous variables
  • Comparing groups : tables and visualizations
  • Comparing groups : statistical tests
  • Identifying drivers of outcomes : linear models
  • Additional linear modeling topics
  • Advanced data analysis. Reducing data complexity
  • Segmentation : unsupervised clustering methods for exploring subpopulations
  • Classification : assigning observations to known categories.

Similar Items