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Personalized R and Shiny training sessions

Posted on August 16, 2025 by 24-7

[This article was first published on pacha.dev/blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)


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Most R training courses follow a standardized approach that may not align with your actual work requirements. This 1:1 training program addresses that gap by building each session around your specific datasets, questions, and objectives.

The R or Shiny 1:1 Training Sessions provide personalized instruction tailored to your individual needs. Rather than working through generic examples, we focus on the data analysis challenges you face in your current role.

What makes this training different from MOOCs?

  • Customized content: Each session addresses your specific questions and datasets. All materials, including slides and code examples, are created specifically for your use case and industry context.
  • Practical application: If you have experience with spreadsheets, we’ll build on that foundation by showing how Excel and Google Sheets concepts translate to R programming.
  • Flexible language options: Sessions are available in English or Spanish to ensure clear communication and effective learning.
  • Structured format: Four one-hour sessions conducted via Zoom, with content developed collaboratively based on your learning objectives.

This is ideal for data analysts transitioning from spreadsheet-based workflows and researchers seeking to automate data processing tasks.

If you are a student, like me, please contact me and I can offer you a significant discount.

You can check my YouTube channel “Data Science Pacha” to see if you like my explanations https://www.youtube.com/@datasciencepacha.

To ask me questions, either visit Buy Me a Coffee or email me. You can book training sessions on Buy Me a Coffee for 164 CAD (118 USD) for the four sessions.

Thanks a lot for reading me 🙂 I hope to be able to focus on my research soon instead of building guitar pedals due to scholarship delays (not a joke, those are real).

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