Advanced Analytics in Power BI with R and Python
- Author: Ryan Wade
- ISBN: 1484258282
- Year: 2020
- Pages: 437
- Language: English
- File size: MB
- File format: PDF, ePub
- Category: Python
Book Description:
This easy-to-follow guide provides R and Python recipes that will help you learn and apply the top languages within the subject of information analytics to your own work in Microsoft Power BI. Information analytics specialist and writer Ryan Wade teaches you how you can use R and Python to do tasks that are incredibly hard, if not impossible, to do utilizing native Electricity BI tools. For instance, you will learn how to score Power BI info using custom data science models and strong models from Microsoft Cognitive Services.
They allow advanced data conversion techniques that are hard to execute in Power BI in its default settings but become easier by leveraging the capabilities of R and Python. If you’re a business analyst, data analyst, or an information scientist who wants to push Power BI and change it from being merely a business intelligence tool into an advanced data analytics tool, then this is the book that will help you do that.
What You Will Learn
- Create advanced data visualizations via R Utilizing the ggplot2 bundle
- Ingest data using R and Python to overcome several limitations of Power Query
- Apply machine learning models to your information using R and Python without the need for Power BI superior compacity
- Incorporate advanced AI in Power BI without needing Power BI premium compacity through Microsoft Cognitive Services, IBM
- Watson Natural Language Understanding, and pre-trained models in SQL Server Machine Learning Services
- Perform advanced string manipulations not possible in Power BI utilizing R and Python
Who This Book Is For
Power users, data analysts, and data scientists that Wish to extend beyond Power BI’s built-in performance to create sophisticated visualizations alter information in ways not otherwise supported and automate information ingestion from resources like SQL Server and Excel in a friendlier manner
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