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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.
Key features
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 Data Mining Without Coding: Using RapidMiner in the Context of Education course from Tallinn University 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
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
English
Credits
2 ECTS
Delivered
On Campus
Disciplines
Education Data Science & Big DataAcademic 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
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Tallinn University and/or in Estonia, please visit Student Insurance Portal.
Tuition Fee
To always see correct tuition fees
-
International
400 EUR/fullTuition FeeBased on the tuition of 400 EUR for the full programme during 12 days. -
EU/EEA
400 EUR/fullTuition FeeBased on the tuition of 400 EUR for the full programme during 12 days.
- Early-Bird Course Fee (until 31 March 2022): 350€
- Regular Course Fee (after 31 March 2022): 400€
Living costs for Tallinn
598 - 948 EUR /month
Living costs
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.
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