This training allows, through simple and complex examples, to see how to associate R and Python and the few pitfalls / limits and best practices.
Participant profiles
Engineers
Business analysts
Data analysts
Financiers
Objectives
Briefly discover the possibilities of using R and Python in combination with Power BI and particularly the use of artificial intelligence or machine learning
Prerequisites
Very good knowledge of Power BI and having reached the traditional limits (both visual and DAX and M) of the latter
Course content
Module 1: Reminders for Power BI Service Subscriptions
Module 2: Installation of MRO and Anaconda
Module 3: Installing R packages and Python modules
Module 4: Good practices
Module 5: View the list of authorized R and Python packages
Module 6: Import data with R or Python
Module 7: Process data with R or Python
Module 8: Import and Process Data with R or Python
Module 9: Performance Benchmarking
Module 10: Exporting Data with R or Python
Module 11: Creating graphics with R (ggplot2) or Python (matplotlib)
Module 12: Advanced Analysis
Module 13: Machine Learning and Artificial Intelligence
Module 14: Calling External * .R or * .py Scripts
Module 15: Current Limits
Module 16: Power BI vs. R Shiny
Documentation
Digital courseware included
Complementary courses
Temptraining funding
ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.
