Data Science for Business With R 1st Edition

Data Science for Business with R by Jeffrey S. Saltz and Jeffrey M. Stanton offers a practical and accessible introduction to the foundational concepts of business analytics and data science—perfect for students just beginning their studies in the field. The book uses a hands-on approach, centered around a running case study based on customer survey data from a global airline, to demonstrate how data can be transformed into actionable business decisions. Throughout, readers encounter numerous real-world examples that reinforce key concepts.

To support real-world application, the text is fully integrated with R and RStudio, two widely-used and freely available tools in data science, making it ideal for students both in and beyond the classroom.

No prior experience in computer science or related disciplines is required. The content is structured in a clear, logical progression—from installing R and RStudio, exploring data architecture, and collecting and analyzing data, to archiving and presenting findings. Each chapter includes:

• Learning objectives and contextual background

• Step-by-step guidance on functions with easy-to-follow examples

• Applications to the airline case study

• End-of-chapter challenge questions

• Useful references and a summary of R functions covered

Data Science for Business with R delivers a student-friendly, applied roadmap to mastering data science principles in a business context.