Analyze Market Basket Data with R

Do you want to understand how customers buy products together and leverage that knowledge to drive sales? Market Basket Analysis is a powerful technique for discovering hidden relationships within transactional data. This course guides you through the process of applying Market Basket Analysis using the R programming language, equipping you with the skills to identify meaningful product associations and inform business decisions. You will learn to: * Understand the foundational concepts of Market Basket Analysis and association rules. * Prepare and preprocess transactional datasets using R, including modern tidyverse approaches. * Apply the arules package in R to generate association rules from raw data. * Interpret key metrics like support, confidence, and lift to evaluate rule significance. * Identify and extract actionable purchasing patterns from complex datasets. * Practice applying these insights to conceptualize basic recommendation strategies. The course begins with essential terminology and concepts, then progresses to practical data preparation and rule generation using R, concluding with rule interpretation and application. This course is designed for beginners with no prior experience in Market Basket Analysis or R programming. Start your journey to becoming proficient in data-driven customer behavior analysis.