Advanced statistical techniques like hierarchical clustering and Cox regression can reveal hidden insights in marketing data. This volume explores their application in areas such as customer lifetime value analysis and market segmentation. Readers will learn how to implement these methods using R, with step-by-step instructions and practical examples. The volume is a valuable guide for marketing professionals and researchers looking to enhance their analytical capabilities.
Mohsen Nady is a pharmacist with a M.D. in Microbiology and a Diploma in Industrial Pharmacy. Besides, Mohsen has more than 10 years of experience in Statistics and Data Analytics. Mohsen has applied his skills to different projects related to Genomics, Microbiology, Biostatistics, Six Sigma, Data Analytics, Data Visualization, Building Apps, Geography, Market Analysis, Business Analysis, Machine Learning, etc. Mohsen also published his thesis in a high-impact journal that attracted many citations, where all the statistical analyses were performed by him in addition to the methodological part. Furthermore, Mohsen has earned different certificates, from top universities (Harvard, Johns Hopkins, Denmark, etc) in Statistics, Data Analytics, Data Visualization, and Machine Learning that highlight his outstanding diverse skills.
