Book

Extending Power BI with Python and R

This book will help you to work with data ingestion and data transformation extensions, and bypass Power BI's shortcomings in data augmentation and data visualization using Python and R programming. You’ll understand insights and create interactive custom visuals using analytical languages with the help of hands-on examples.

Offered by

Difficulty Level

Intermediate

Completion Time

18h36m approx.

Language

English

Certification

Not available

About Course

Book Content

chapters • 18h36m total length

1. Where and How to Use R and Python Scripts in Power BI

2. Configuring R with Power BI

3. Configuring Python with Power BI

4. Importing Unhandled Data Objects

5. Using Regular Expressions in Power BI

6. Anonymizing and Pseudonymizing Your Data in Power BI

7. Logging Data From Power BI To External Sources

8. Loading Large Datasets Beyond the Available RAM in Power BI

9. Calling External APIs to Enrich Your Data

10. Calculating Columns Using Complex Algorithms

11. Adding Statistics Insights: Associations

12. Adding Statistics Insights: Outliers and Missing Values

13. Using Machine Learning Without Premium or Embedded Capacity

14. Exploratory Data Analysis

15. Advanced Visualizations

16. Interactive R Custom Visuals

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