Business Data Analysis with R: Foundations for Decision Making

Every modern business generates vast amounts of data, but the real value lies in translating that data into smart, strategic decisions. This course introduces you to the power of R, the leading programming language for statistical analysis, specifically tailored for business contexts. By learning to analyze data programmatically, you can uncover patterns that standard spreadsheets often miss. Through clear, written explanations and structured code examples, you will transition from a complete beginner to a confident data analyst capable of preparing, exploring, and interpreting business datasets. You will learn to approach business problems with an analytical mindset, using data to back up your strategic recommendations. What you'll learn: - Understand foundational R syntax, variables, data types, and core programming concepts. - Clean and manipulate messy business datasets using modern tidyverse packages like dplyr. - Create clear, informative data visualizations with ggplot2 to communicate insights to stakeholders. - Apply basic statistical analysis techniques to identify trends, outliers, and correlations. - Structure reproducible data workflows to ensure your analysis is consistent and reliable. The course begins with essential terminology and environment concepts, guiding you step-by-step through data import, transformation, and visual exploration. You will read through realistic business scenarios and practice writing clean R code to solve common analytical challenges. This course is designed for business professionals, managers, and aspiring data analysts who are completely new to programming. No prior coding experience or advanced statistical knowledge is required. Start reading today to unlock the potential of your business data.