MARKETING RESEARCH WITH R AND PYTHON – (PDF/EPUB Version)

Author(s): Howard Pong Yuen Lam
Publisher: WSPC
ISBN: 9789811277542
Edition:

$19,99

Delivery: This can be downloaded Immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)
Quality: High Quality. No missing contents. Printable

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Important: No Access Code

Description

This book is meant for readers with little or no experience in programming in R and Python, who wish to quickly learn what is necessary, and be able to conduct marketing research by running tests easily in R or Python.

A number of marketing research textbooks have been using SPSS or SAS for many years. Conversely, R and Python can be downloaded and installed in a personal computer for free. Instructors and students do not have to go to a computer room in a university to use SPSS or SAS anymore. Instead, students can run R or Python on their personal computers.

For any company, growth comes either from organic growth of existing products, or from launching successful new products. Due to competition in the marketplace, each company’s marketer must determine whether or not it is time to develop and launch a new product:

This book covers important frameworks and concepts of marketing research for developing a new product.

Contents:

  • Marketing
  • Marketing Research or Not
  • Marketing Research Process
  • Measurement and Scaling
  • Questionnaire
  • Analysis of Variance
  • Correlation
  • Regression
  • Appendices:
    • Hierarchical Branding Strategy for New Product Launch: Evidence from China
    • Corporate Branding Strategy for New Companies in China: Lessons Learned from GoGoVan and LaLaMove
    • Dual Branding Strategy for a Successful New Product Launch in China
    • Programming in R
    • Programming in Python
  • Index

Readership: Primary: Marketing Research course for undergraduate and postgraduate students. Secondary: Computer programming introductory course for undergraduate and postgraduate students.

Key Features:

  • One book with both R and Python for learning one or both languages efficiently without unnecessary details
  • Learn 27 topics within 3 hours for one language (about 5 minutes per topic)
  • All programs are available for download. Each program contains a video with professional voice-over in English