Part I. Creating Custom Data Visualizations using R.- 1. The Grammar of Graphics.- 2. Creating R custom visuals in Power BI using ggplot2.- Part II. Ingesting Data into the Power BI Data Model using R and Python.- 3. Reading CSV Files.- 4. Reading Excel Files.- 5. Reading SQL Server Data.- 6. Reading Data into the Power BI Data Model via an API.- Part III. Transforming Data using R and Python.-7. Advanced String Manipulation and Pattern Matching.- 8. Calculated Columns using R and Python.- Part IV. Machine Learning & AI in Power BI using R and Python.- 9. Applying Machine Learning and AI to your Power BI Data Models.- 10. Productionizing Data Science Models and Data Wrangling Scripts.