This micro-credential course provides a comprehensive exploration of core principles and methodologies in data mining. Participants will delve into fundamental concepts such as data preprocessing, pattern recognition, clustering, classification, and association analysis. The curriculum covers various algorithms and techniques used for extracting valuable patterns and insights from large datasets. Through hands-on exercises and real-world applications, learners will gain practical experience in utilizing data mining tools and technologies to uncover hidden patterns, trends, and relationships within complex data sets. The course emphasizes the application of data mining principles across diverse domains, enabling participants to harness the power of data for informed decision-making and predictive analytics.
- Teacher: Harokopio University of Athens
- Teacher: Christos Sardianos
Course purpose: formation of competencies necessary for managing content of web services; providing deep and solid knowledge of web service content management necessary for further practical engineering activities; developing students' ability to use the acquired knowledge when filling the necessary content and managing web services. After studying the course, the student should be able to: apply the acquired knowledge and known methods to formulate and solve problems related to content management systems; apply knowledge, methods and algorithms in the process of promoting content on Instagram and Facebook; demonstrate experimental skills in content development: analyze requirements, decompose the task, select content to solve the task, implement content and analyze web services; use systems at the functional level that perform a comparative analysis of various technical solutions; use key performance evaluation metrics and form the analytics.
- Teacher: Khmelnytskyi National University
- Teacher: Iryna Zasornova
This course gathers students from diverse fields and varying experiences, offering a comprehensive understanding
of artificial intelligence principles and applications, enabling them to adeptly navigate AI tools essential to their work.
- Teacher: Mirian Giorgadze
- Teacher: Batumi Shota Rustaveli State University