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Business Data Analytics with R: Analyze Sales, Customer Behavior, and Business Trends to Make Data-Driven Decisions
Paperback
Series: Real-World Data Science with R, Book 21
MarketingGeneral MathematicsProbability & Statistics
Publisher: Independently Published
Published: Mar 9 2026
Pages: 134
Weight: 0.42
Height: 0.29 Width: 6.00 Depth: 9.00
Language: English
- Clean and prepare messy real-world data
- Visualize trends using powerful data visualization techniques
- Analyze sales performance and key business metrics
- Segment customers and understand customer behavior
- Forecast business trends and demand using time series analysis
- Build predictive models that support strategic decision making
- Create business intelligence dashboards and reports
- Apply analytics through real-world business case studies Using clear explanations and practical examples, the book demonstrates how R can be used to perform powerful business analytics without requiring advanced programming experience. Readers will develop skills that allow them to analyze complex datasets and convert information into actionable insights. This book is ideal for:
- Business professionals who want to make data-driven decisions
- Students learning data science and business analytics
- Entrepreneurs who want to understand their customers and markets
- Analysts seeking practical applications of R in business environments
- Anyone interested in learning how data science supports business strategy By the end of this book, readers will understand how to use data analytics, predictive modeling, and business intelligence tools to improve decision-making and drive organizational growth. In a world where data influences every business decision, the ability to analyze information effectively is no longer optional. It is a competitive advantage. This guide provides the knowledge and practical skills needed to turn data into strategy and insight.
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