- Data Wrangling and Visualization with R: A Comprehensive Guide: Cleaning, Transforming, and Visualizing Real-World Data Using the Tidyverse
- R and Python for Production Data Science: Pipelines, Model Orchestration, and Cross-Language Analytics
- Shiny for Data Applications: Interactive Dashboards, Analytical Tools, and R App Development
- Spark and Big Data Processing with R and Python: Building Scalable Pipelines with Sparklyr, PySpark, and Databricks
- Bayesian Modeling and Probabilistic Programming in R: A Practical Guide to Hierarchical Models, Stan, and Uncertainty Quantification for Decision Making





