Institute of Computer Science
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  2. 2017/18 fall
  3. Data Mining (MTAT.03.183)
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Data Mining 2017/18 fall

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Tutorials

We have selected these short tutorials for you to get started easily. For more specific functionality you should be able to find help from documentation and other available materials. If not, you are welcome to write to Piazza and ask us!

  1. Introduction to R
  2. knitr tutorial
  3. dplyr tutorial
  4. tidyr tutorial
  5. ggplot2 tutorial

1. is adapted from R ecology lesson created and maintained by Data Carpentry organisation

2., 3., 4. and 5. are adapted from the course Statistiline andmeteadus ja visualiseerimine created by Tanel Pärnamaa and Kaspar Märtens.

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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