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30E03000 - Data Science for Business I, 07.01.2020-18.02.2020

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Syllabus

General

  • General

    General

    Welcome to the course!

    Please take a look at the course Syllabus (updated 26.11.2019) to find important information regarding course content, structure, assessment, etc. The maximum number of seats on this course is 60 (not 50 as indicated in Oodi). Note that Oodi allows more than 60 people to register, so a successful registration does not equal a spot on the course (hence no "first come first serve"). Instead, the selection is made based on the course pre-survey. All registered students will receive a MyCourses notification when the link to the pre-survey is available. The survey has to be answered by December 31st 2019. The priority for the student selection is as follows: 

    1. Aalto ISM MSc students whose specialization area is Business Analytics
    2. Aalto Analytics and Data Science minor students & Students in Master's Programme in in ICT Innovation (EIT digital)
    3. Other Aalto MSc students (incl. ISM students without specialisation in Business Analytics) 

    In the first week of January 2020, the students who are accepted to the course (60 in total) will be informed via email sent to all students who have registered to the course. 

    All study materials except the course books will be provided as needed and made available on the pages found in the sidebar.

    • icon for activity Announcements Forum
    • icon for activity General discussion Forum

    • Contact


      Professor: Pekka Malo, Ph.D. (quant. methods), M.Sc. (math)
      • Email: pekka.malo(at)aalto.fi
        • Theory-related questions

      Assistant1: Philipp Back, M.Sc. (econ)
      • Email: philipp.back(at)aalto.fi
        • Questions about assignments, tutorials, and grading
        • Please write to me in English
        • Use the subject DSBquery in your email

      Assistant2: Lina Siltala-Li
      • Email: lina.siltala-li(at)aalto.fi
        • Questions about enrolment
        • Practical arrangements of the course
        • Scheduling of presentations
        • Please write to me in English
        • Use the subject DSBquery in your email

    • DataCamp logo

      This course is supported by DataCamp, a great learning platform where you can learn R, Python and SQL through a combination of short expert videos and hands-on-the-keyboard exercises. We have arranged a Classroom license for all DSB I students that will grant you access to DataCamp's premium content for 6 months. Some DataCamp courses will be mandatory assignments in DSB I, but we encourage all students to use this chance and explore also more advanced courses. 

      Note: the Classroom license will be granted once the student selection process is finished (around January 2nd).

    • icon for activity Retake exam information Page
    • icon for activity Retake exam submission box Assignment

      Submission box closes: April 17th, 2020 @ 17:00:00

      Please submit your exam as a single .ipynb file here. Name your file studentNum-lastname-firstname-exam.ipynb  .

      Remember to click the "submit" button. You have only 1 attempt!

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  • 30E03000 - Data Science for Business I, 07.01.2020-18.02.2020
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  • Week 1: Predictive Analytics
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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
    • UNI (exams)
    • Sandbox
  • CORONAVIRUS INFO
    • Koronavirus - tietoa opiskelijalle
    • Coronavirus - information for students
    • Coronavirus - information för studerande
    • Koronaviruksen vaikutus opiskeluun: kysymyksiä ja vastauksia
    • Effects of the coronavirus on studies: questions and answers
    • Coronaviruset och studierna: frågor och svar
    • Corona help for teachers
  • Service Links
    • MyCourses
    • - Instructions for Teachers
    • - Teacher book your online session with a specialist
    • - 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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