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Training: Power BI – With R and Python

Ref. MPB-31
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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


  • Briefly discover the possibilities of using R and Python in combination with Power BI and particularly the use of artificial intelligence or machine learning


  • 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


  • 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.
Prix de l'inscription
CHF 475.-
Inclus dans ce cours
  • Training provided by an industry expert
  • Digital documentation and materials
  • Achievement Badge

mer21Aoû09:00mer12:00Lausanne, Avenue Mon repos 24, 1005 Lausanne Etiquettes de sessionMPB-31

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Horaires d’ouverture

Du lundi au vendredi, de 8:30 à 18:00.


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Opening hours

Monday to Friday, from 8:30 am to 06:00 pm.

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