57E00500 - Capstone: Business Intelligence, 01.03.2021-07.04.2021

Översikt

• Online Lecture Materials
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    Lecture 1 - Video and PPT Fil

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    Business Intelligence: Lecture 1 (edited)

    
    

    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.
    

    
    

    
    

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    Lecture 2: PPT Fil

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    Lecture 3: PPT Fil

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    Lecture 3 - Data quality

    
    

    
    

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

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    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
    

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    Lecture 5: IBM Insights / Cognos

    Link to lecture video here

    Link to lecture PPT here

    Link to lecture script here
    

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    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
    

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    Lecture 7 - Machine_learning_and_predictive_analytics Fil

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

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

    Business Intelligence: Lecture 7 - machine learning

    
    

    
    

    
    

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    Lecture 8. Building analytics and BI capability from scratch. Fil

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    Business Intelligence: Lecture 8 - building BI from scratch

    
    

    
    

    
    

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    Lecture 9: Interview and lecture on "Being a data analyst" Mapp

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    R code and sample data are available.

    Lecture 9 - Interview with H&M and Being a Data Analyst

    
    

    
    

    
    

    
    

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    Lecture 10: Insights to enable customer success Mapp

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    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).
    

    Lecture 10: Insights to enable customer success

    
    

    
    

    
    

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    Lecture 11: Being a data analyst Mapp

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    Lecture 11

    
    

    
    

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    Lecture 12 - Data Driven Management Mapp

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    Lecture 12: Data driven management