Foundation Of Statistics For Data Analytics

This 3-day Foundation of Statistics for Data Analytics course equips participants with the statistical foundations and applied modelling skills needed to extract business insights from data. Learners will cover exploratory data analysis, hypothesis testing, clustering and decision-tree techniques, prototype algorithm development, and methods for validating predictive models. Emphasis is placed on translating statistical outputs into actionable recommendations and interactive visual storytelling. Through hands-on case examples and model prototyping, participants will learn to identify meaningful patterns, build simple predictive models, and communicate findings that support business decisions. The program is ideal for aspiring data analysts, BI professionals, and managers who want a practical bridge from statistics to data-driven outcomes.