Advanced Analytics in Power Bi with R and Python: Ingesting, Transforming, Visualizing

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 Python7. Advanced String Manipulation and Pattern Matching 8. Calculated Columns using R and PythonPart IV. Machine Learning & AI in Power BI using R and Python 9. Applying Machine Learning and AI to your Power BI Data Models10. Productionizing Data Science Models and Data Wrangling Scripts.

Author: Ryan Wade
Publisher: Apress
Published: 10/13/2020
Pages: 391
Binding Type: Paperback
Weight: 1.67lbs
Size: 10.00h x 7.00w x 0.89d
ISBN13: 9781484258286
ISBN10: 1484258282
BISAC Categories:
- Computers | Programming | Microsoft
- Business & Economics | Industries | Computers & Information Technology
- Computers | Database Administration & Management

About the Author
Ryan Wade is a data analytic professional with over 20 years of experience. His education and work experience enable him to have a holistic view of analytics from a technical and business viewpoint. He has an MCSE with an emphasis on BI reporting and Microsoft R. He has an advanced understanding of R, Python, DAX, T-SQL, M, and VBA. He knows how to leverage those programming languages for on-premise and cloud-based data analytics solutions using the Microsoft Data Platform.

Ryan is a data analytics enthusiast and has spoken at R meetups, Python meetups, SQLSaturdays, TDWI Conference, and PASS Summit about various data analytics topics. He is the developer of a comprehensive online course for ExcelTv showing how to implement R in Power BI for advanced data analytics and data visualization.