Foundations of Business Analytics: Turn Data into Decisions

In today's data-driven market, the ability to translate raw numbers into actionable business strategy is a highly sought-after skill. Businesses of all sizes rely on data to optimize pricing, predict trends, and streamline operations. This text-based course equips you with the fundamental concepts and practical methodologies of business analytics. You will transition from understanding core terminology to performing descriptive, predictive, and prescriptive analysis using standard industry tools like Excel, Tableau, and Orange. What you'll learn: - Understand the fundamental types of analytics, including descriptive, predictive, and prescriptive frameworks. - Organize and clean raw business data using modern data preparation workflows and dynamic arrays in Excel. - Create impactful visual reports and dashboards using Tableau to communicate insights clearly. - Apply basic predictive modeling techniques such as regression, classification, and time-series forecasting. - Analyze pricing scenarios and demand elasticity to make optimized, data-backed business decisions. - Explore no-code machine learning concepts using Orange to solve complex business problems. The curriculum begins with essential data literacy and terminology before guiding you through step-by-step written explanations of data formatting, visualization, and predictive modeling. You will read real-world business scenarios and apply your knowledge through practical, text-based analytical exercises. This course is designed entirely for beginners, with no prior experience in statistics, coding, or database management required. Start building your analytical mindset and unlock the power of business data today.