Information Technology & Digital Professions
The Data Analyst programme is a structured professional vocational training programme designed in accordance with professional standards, workplace procedures, and real industry practice. The programme develops practical analytical competence, professional judgement, and safe working practices in relation to data handling, documentation, reporting, and decision support. Training is organised into progressive blocks that combine classroom theory, supervised practical work, guided technical exercises, and formal assessment. The published structure, curriculum, and learning outcomes support institutional documentation, transparency, and external or international verification of programme content and competence requirements.
Individuals seeking formal vocational qualification and documented competence in data analysis, reporting, and evidence-based decision support.
Practitioners with practical experience who want to systematise skills, close competence gaps, and validate professional capability through structured training and assessment.
Employees of companies, public institutions, and service providers who require documented proof of competence for career development, compliance, procurement participation, or professional progression.
Apply occupational safety, confidentiality, and ethical requirements when collecting, processing, storing, and presenting data.
Interpret business tasks, reporting requirements, and source documentation in order to define analytical objectives and data needs.
Collect, clean, structure, and validate datasets using appropriate analytical methods and digital tools.
Perform descriptive analysis, identify patterns, trends, deviations, and data quality issues, and apply corrective actions where required.
Prepare tables, dashboards, charts, and analytical summaries in accordance with reporting standards and audience needs.
Use analytical logic to compare results, explain findings, and support operational or management decisions with evidence-based conclusions.
Document analytical procedures, assumptions, results, and non-conformities in a clear and verifiable professional format.
Communicate effectively with supervisors, colleagues, and clients regarding data sources, limitations, findings, and recommendations.
Instructional time
Total: 480 academic hours (Theory 180, Practice 240, Independent study 40, Final assessment 20).
Issued documents
Assessment
Assessment includes continuous assessment through tests and practical tasks, evaluation of workshop performance and completed analytical assignments, and a final practical examination with review of documentation and results.
Prerequisites
Basic literacy and numeracy, readiness for structured theoretical and practical training, and the ability to follow occupational safety, confidentiality, and data handling requirements. Prior professional experience is not mandatory.
Training format
Competence-based vocational training delivered through classroom theory, supervised practical workshops, guided exercises, technical tasks, case-based analysis, and formal assessment.