Business Analytics with R: Foundational Regression and Data Modeling

How do successful organizations turn raw data into strategic business decisions? This text-based course introduces you to the essentials of business analytics, focusing on foundational statistical models and regression analysis using R. You will transition from understanding basic data concepts to building and interpreting your own linear regression models to solve actual business scenarios. By reading through clear explanations and practicing with structured code examples, you will gain the confidence to analyze business trends and predict outcomes. What you'll learn: - Understand key statistical concepts and foundational terminology used in business decision-making. - Import, clean, and explore business datasets using modern R packages and tidyverse workflows. - Build and interpret simple and multiple linear regression models to identify key business drivers. - Evaluate model performance and check statistical assumptions to ensure reliable predictions. - Apply regression analysis to real-world business cases like sales forecasting and marketing attribution. - Write clean, reproducible R code for data preparation and basic statistical reporting. The course begins with essential definitions and data concepts before guiding you step-by-step through exploratory data analysis and regression modeling. This course is designed specifically for beginners, business professionals, and aspiring analysts with no prior programming or advanced statistical background. Start reading today to build your data analytics foundation.