Anssi Mattila
Distance learning
All necessary materials are provided on the course platform.
Online course available for independent study at the student's own pace
Kurssin suorittaminen edellyttää materiaaleihin perehtymistä ja kyselyiden suorittamista hyväksytyllä pistemäärällä (vähintään 50%). (not translated)
01.12.2021 - 30.06.2022
29.11.2021 - 23.05.2022
0 - 300
Korkeakouluyksikkö D, Tikkurila, liko
Anssi Mattila, Suvi Valsta
Inquiries for the course can be directed to mooc@laurea.fi.
Complementary competence, master’s studies in English (CYJ2), Generic studies
Laurea Virtual Campus
1 credits
Approved/Failed
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Course has been produced in corporation with Osaango Oy. Lecturers on the videos are experts in data economy.
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Kurssia tarjotaan yhteistyöoppilaitoksille ja sen sisältö on rakennettu sopimaan sekä EU-maihin että kansainvälisesti soveltuvaksi. (not translated)
1 ECTS credits = 27 hours of work
Videos, quizzes and articles in four different modules.
Module 1: Data economy in brief
Module 2: Data sources and business models
Module 3: Role of information in value creation
Module 4: Next steps in data economy
After this course, you will be able to:
Explain why organizations need to apply data in decision making
Explain where the data comes from and how it can be used (buying, selling, collecting data, big data from IoT, digital platforms and APIs, machine learning and AI vs. statistical methods)
Identify the role of information in a value creation process
Identify key business models enabled by digital data.
List a few “no-code” ways of experimenting with data products to validate the business model
Summarize how privacy regulations shape the data economy