Data-Driven Customer Growth with Excel and Orange

Every business collects data, but the real value lies in turning that data into actionable customer growth. You do not need to be a software engineer or a statistician to unlock powerful insights that drive retention, acquisition, and engagement. This text-based course guides you through the foundational concepts of data literacy and shows you how to execute sophisticated customer growth strategies. Using only Excel and Orange—a powerful visual data mining tool—you will learn to clean data, identify trends, and build predictive models without writing a single line of code. What you'll learn: Understand core data literacy principles and key customer growth metrics; Clean and prepare customer datasets using modern Excel formulas and dynamic arrays; Build visual data workflows in Orange to segment customers and analyze behavior; Apply predictive modeling concepts to forecast customer churn and lifetime value; Translate raw data analysis into clear, actionable business strategies; Practice interpreting visual data mining outputs to make confident marketing decisions. You will start with essential terminology, learning how data is structured and what metrics matter most for growth. From there, you will progress through written step-by-step guides that walk you through data preparation in Excel and visual machine learning workflows in Orange. This course is designed specifically for beginners, marketers, product managers, and business analysts who want to build their analytical skills without learning programming languages like Python or R. No prior coding experience is required. Start reading today to transform raw data into a powerful engine for customer growth.