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Marko Grobelnik
marko.grobelnik@ijs.si
 Jozef Stefan Institute




                     Dublin, April 10th 2013
   Many curriculums were prepared in the past
    for data related sciences:
    ◦ Statistics, machine learning, data mining, semantic
      web, natural language processing

   …but, proper data scientist should have view
    to the data in an uniform way
    ◦ Speculation: data related know-how is one,
      particular areas of data research are just instances

    ◦ …sort of heretic claim for some areas of research
   Subcubes of the cube
    are different areas of
                             Usage
    research developed
    as separate              Quality
    communities in the
    past                     Context

                             Streaming

                             Scalability
Data Science Curriculum - Approaches towards preparing a curriculum
Data Science Curriculum - Approaches towards preparing a curriculum

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Data Science Curriculum - Approaches towards preparing a curriculum

  • 1. Marko Grobelnik marko.grobelnik@ijs.si Jozef Stefan Institute Dublin, April 10th 2013
  • 2. Many curriculums were prepared in the past for data related sciences: ◦ Statistics, machine learning, data mining, semantic web, natural language processing  …but, proper data scientist should have view to the data in an uniform way ◦ Speculation: data related know-how is one, particular areas of data research are just instances ◦ …sort of heretic claim for some areas of research
  • 3. Subcubes of the cube are different areas of Usage research developed as separate Quality communities in the past Context Streaming Scalability