An Introduction to Statistical Learning provides a comprehensive and accessible introduction to modern data analysis techniques, focusing on key concepts in machine learning, statistical modeling, and data mining. It is ideal for beginners and practitioners looking to apply these methods in various fields.
R for Marketing Research and Analytics is a practical guide that demonstrates how to use R for data analysis in marketing, covering essential techniques such as segmentation, conjoint analysis, and predictive modeling, tailored for marketing professionals and researchers.
Data Analytics and Decision Making is an open textbook that focuses on three core areas: data acquisition, data processing, and decision-making models. It equips students with the skills to gather relevant data, apply quantitative techniques like statistics and machine learning, and use predictive or prescriptive models to make informed, impactful decisions for businesses or projects.