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The Business Analytics course offers a comprehensive understanding of key concepts, tools, and techniques essential for data-driven decision-making. It begins with the evolution of business analytics, the analytics process, and an overview of roles like data scientists, data engineers, and business analysts, along with an introduction to R programming. The course delves into data warehousing and mining, covering ETL processes, star schemas, and data mining applications in industries such as retail, healthcare, insurance, and telecommunications. Data visualization is another key focus, teaching students various visualization techniques, cross-tabulation, chart creation, and tools like Tableau, as well as data modelling concepts. The course also explores the three primary types of analytics: descriptive (mean, median, mode, standard deviation), predictive (linear and multivariate regression), and prescriptive (graph analysis, simulation, optimization). By blending theory and practical applications, this course equips students with the skills needed to pursue careers and make data-driven decisions in business.