Wrocław

NobleProg , Ludwika Rydygiera 2a/22, Wroclaw, Poland, 50-249

Classroom is located in the city center (right next to HP Park Plaza), just 10 minutes walk from the market square.

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LibreOffice Writer & Calc

14 Hours
This instructor-led, live training in Wroclaw (online or onsite) is aimed at IT teams who wish to learn the writer and calc features of LibreOffice. By the end of this training, participants will be able to:
  • Learn the Writer and Calc features or LibreOffice.
  • Create and edit various types of documents, such as letters, reports, essays, and more with LibreOffice.
  • Create and manage spreadsheets for performing calculations, organizing data, and creating charts with LibreOffice.
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LibreOffice

21 Hours
This instructor-led, live training in Wroclaw (online or onsite) is aimed at IT teams who wish to install, migrate, and use LibreOffice features and applications in their organizations. By the end of this training, participants will be able to:
  • Install LibreOffice applications to help teams be more productive.
  • Create a migration plan to move enterprise documents from MS Office to LibreOffice.
  • Learn LibreOffice components to process text, build spreadsheets, create presentations, and draw vector graphics.
  • Develop macros and extensions to improve usage and productivity.
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LibreOffice Calc for Data Analysis

14 Hours
This instructor-led, live training in Wroclaw (online or onsite) is aimed at data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software. By the end of this training, participants will be able to:
  • Install the LibreOffice suite on any operating system.
  • Understand the full features and functionalities available in LibreOffice Calc.
  • Learn how to clean, validate, manipulate, and visualize data in Calc.
  • Apply the various functions and tools in Calc to perform complex data analysis.
  • Gain some tips and insights on conducting advanced data analysis.
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