Overview
Some examples of the data mining methods that will be learnt include supervised machine learning algorithms like Decision Trees, Rule Induction, Support Vector Machines, and Artificial Neural Networks. In addition to that, unsupervised learning methods like clustering and association rule mining will be practised.
Even though most of the examples are in the context of education, the data mining methods taught in this course can be applied to any other context (e.g., e-commerce). This course equips participants with capabilities to implement bottom-up methods to find existing patterns and relationships in their datasets and employ predictive analytics to predict future results. The learners will experience the hands-on practice of implementing various data mining techniques on different synthetic and real-world datasets in free open-source software.
Programme Structure
All methods and approaches will be introduced and explained in detail in video lectures and in-person practice seminars. This approach allows the learners to rewatch the topics that they feel less confident about and ask additional questions during the seminars. By the end of this course, the learners will have more knowledge of different data mining techniques and should be able to employ these for data-driven decision-making in their area of interest.
Key information
Duration
- Full-time
- 12 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Credits
Delivered
Disciplines
Education Data Science & Big Data View 8 other Short Courses in Education in EstoniaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
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- Additional medical costs (i.e. dental)
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Tuition Fee
-
International
400 EUR/fullTuition FeeBased on the tuition of 400 EUR for the full programme during 12 days. -
National
400 EUR/fullTuition FeeBased on the tuition of 400 EUR for the full programme during 12 days.
Early-Bird fee until 31 March - 350 EUR
Living costs for Tallinn
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
There are 3 scholarships available, covering the course fee.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.