Computer Science, Information Technology and Energy , Information technology ,

Business Analytics

Take your first step towards advanced digital skills! This course is part of the RTU study course "Business Analytics" and is designed for a self-paced learning experience to provide an insight into the topic and spark interest. The course is freely accessible; however, it does not offer a certificate upon completion. The full-scale study course provides significant added value—it offers intensive practical work with digital tools and high-performance computing technologies, ensuring the development of advanced digital skills corresponding to levels 7–8 of the European Digital Competence Framework (DigComp). If you wish to study in-depth and receive a certificate certifying the acquired DigComp competences, apply for the full study course as a guest learner through the RTU Lifelong Learning Department: 👉 https://www.rtu.lv/lv/studijas/uznemsana/kursi-klausitajiem 📧 talakizglitiba@rtu.lv 📞 +371 67089439

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Ilze Birzniece

The goal of the “Business analytics” course is to develop a comprehension of data analytics capabilities and skills to select and apply appropriate approaches to particular business data needs.

Learning outcomes:

Characterize data pre-processing tasks and conduct data transformations
Discriminate data mining approaches, select and apply appropriate methods for particular data
Analyze business needs and link them to capabilities data analytics
Derive data-driven business decisions
Using data mining tools create solutions for discovering knowledge from data and representing it (DigComp Level 7)
Perform different tasks according to the principles of academic integrity

Course prerequisites:

The course does not require previous experience in data mining or programming, however, basic knowledge about data storage and processing with application software are advisable.

This module provides the introductory version of the full study course, ensuring acquisition of subset of learning outcomes:

Understands the role of data analytics in decision-making and knowledge extraction from data.
Is able to describe the main tasks of data preparation and exploratory analysis.
Distinguishes between the main data mining approaches – classification, regression, clustering, and association rule mining.
Is familiar with the capabilities of HPC (High-Performance Computing) in data analytics tasks.
Is familiar with several tools for performing data mining.

Full course content, practical tasks, feedback and access to HPC resources are only available in a full study course “Business Analytics” through RTU implemented study programmes or through the RTU Lifelong Learning Department!