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30E03500 - Data Science for Business II, 19.02.2018-04.04.2018

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Syllabus

Week 3: Sport Analytics

  • Week 3: Sport Analytics

    Week 3: Sport Analytics

    •  L3: Sport Analytics - Jirka Poropudas File
    •  Sports case description & data Folder
    •  Take-home Questionnaire 1 Assignment

      Deadline: March 14th, 2018 @ 23:59:59

      We would like you to think critically about everything that was discussed in this week's lecture and reflect on what you were presented with. To help you do this, we have provided you with some questions. Answer the questions in a short-essay fashion (you can think of this as a kind of learning diary); i.e, your answers should not exceed half a page for each question.

      This assignment is worth 3 points. Late submissions will suffer a 20% penalty for being up to a day late and a 50% penalty for being more than a day late. Assignments more than 2 days late will not be graded.

      Questions:

      1. What are the key challenges in this field?
      2. Briefly discuss some alternative methodologies for addressing these challenges.
      3. How can analytics be used to support decision making in this field?
◄Week 2: Prescriptive ModelingWeek 4: Prescriptive Analytics in Finance►
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30E03500 - Data Science for Business II, 19.02.2018-04.04.2018
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Materials
Week 1: Predictive Modeling
Week 2: Prescriptive Modeling
Week 3: Sport Analytics
Week 4: Prescriptive Analytics in Finance
Week 5: From Data to Business Opportunities
Week 6: Team Case Presentations
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  • Schools
    • School of Arts, Design, and Architecture (ARTS)
    • School of Business (BIZ)
    • School of Chemical Engineering (CHEM)
    • –sGuides for students (CHEM)
    • – Instructions for report writing (CHEM)
    • School of Electrical Engineering (ELEC)
    • School of Engineering (ENG)
    • School of Science (SCI)
    • Language Centre
    • Open University
    • Library
    • Aalto university pedagogical training program
    • Sandbox
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Digital tools for teaching
    • - Personal data protection instructions for teachers
    • - Instructions for Students
    • - Workspace for thesis supervision
    • WebOodi
    • Into portal for students
    • Courses.aalto.fi
    • Library Services
    • - Resourcesguides
    • - Imagoa / Open science and images
    • IT Services
    • Campus maps
    • - Search spaces and see opening hours
    • Restaurants in Otaniemi
    • ASU Aalto Student Union
    • Aalto Marketplace
  • ALLWELL?
    • Study Skills
    • Support for Studying
    • Starting Point of Wellbeing
    • About AllWell? study well-being questionnaire
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