Topic outline

  • Online Lecture Materials

    • File icon
      Lecture 1 - Video and PPT File
      PDF document
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Appologize for a mistake that we actually have 9 online lecture sessions, instead of 10. I have updated the learning diary evaluation schema with the correct total session number.


    • File icon
      Lecture 2: PPT File
      PDF document
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant
    • File icon
      Lecture 3: PPT File
      PDF document
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Guest speaker would like to receive your feedback and suggestions on the lecture. Please kindly help!
      https://presemo.aalto.fi/2021feedback/

    • Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Materials for Lecture 4 are tutorial videos for studying Power BI, please visit this section.
      https://mycourses.aalto.fi/course/view.php?id=27668&section=3

    • Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Lecture 5: IBM Insights / Cognos

      Link to lecture video here

      Link to lecture PPT here

      Link to lecture script here

    • Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Lecture 6: IBM Cognos

      Videos and materials for lecture 6 and for studying IBM Cognos are available at section "IBM Cognos: Videos and Materials". see: https://mycourses.aalto.fi/course/view.php?id=27668&section=7

    • File icon
      Lecture 7 - Machine_learning_and_predictive_analytics File
      PDF document
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Lecture PPT is avaiable now and lecture video will be available here.

      Email of the guest lecture: Jozsef Mezei <Jozsef.Mezei@abo.fi>


    • File icon
      Lecture 8. Building analytics and BI capability from scratch. File
      PDF document
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant


    • Folder icon
      Lecture 9: Interview and lecture on "Being a data analyst" Folder
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      R code and sample data are available.



    • Folder icon
      Lecture 10: Insights to enable customer success Folder
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

      Please notice that the lecture slides are shareable only for the students of the course but should not be distributed elsewhere without the permission of Laura Nässi (Trimble).


    • Folder icon
      Lecture 11: Being a data analyst Folder
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant

    • Folder icon
      Lecture 12 - Data Driven Management Folder
      Not available unless any of:
      • You are a(n) Student
      • You are a(n) Workspace Assistant


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