Digital and Technical Skills

What it assesses

A set of 10 digital and technical competencies.

Competencies included (10)

• Digital literacy Measures skills in using and understanding digital technologies, focusing on handling tools, web navigation, digital communication and the use of apps and programs. It looks at digital competence and adaptability in digital work environments.
• Using office software Measures competence in using office software, covering word processing, spreadsheets, presentations and management and collaboration tools. It looks at skills from basic to advanced tasks, including navigating software, creating and editing documents, using formulas, building compelling presentations and handling collaboration and project tools.
• Programming and software development Measures skills in programming and software development, focusing on the design, implementation and maintenance of software solutions. It looks at knowledge of fundamental concepts and practical skill in programming languages and software design.
• Artificial intelligence Measures knowledge of artificial intelligence, covering areas such as machine learning, deep learning, natural language processing and computer vision. It looks at theoretical understanding, practical skills in AI algorithms and application in real situations. This assessment determines aptitude for AI-related roles, such as developers, data scientists or machine learning engineers. The assessment can be adapted to specific requirements and objectives.
• Big data and data analysis Measures the ability to handle and analyze large datasets, including collecting, organizing, cleaning and analyzing using specialized tools. It looks at knowledge of Big Data architecture, data transformation, modeling, visualization, statistical analysis and machine learning techniques. It also considers the capacity to interpret results, identify patterns and generate recommendations based on the analysis.
• Cybersecurity Measures skills and knowledge in cybersecurity, including identifying and mitigating risks and applying techniques to protect systems and networks. It looks at areas such as network security, access management, cryptography, intrusion detection, malware prevention and incident response. It also considers the capacity to face practical scenarios and make security decisions. The goal is to determine aptitude for defending against cyber threats.
• Virtual and augmented reality Measures competence in immersive technologies, focusing on their application in work contexts. It looks at theoretical knowledge, practical experience and problem-solving skills related to these technologies.
• IoT (Internet of Things) Measures skill in the IoT domain, including interconnecting devices and developing smart solutions. It looks at IoT fundamentals, system design and IoT security.
• Blockchain Measures competence in distributed ledger technology, focusing on the fundamental concepts of blockchain and its practical application.
• Cloud computing Measures skill in cloud computing, covering fundamental concepts, the use and management of cloud services. It looks at service models (IaaS, PaaS, SaaS), architecture, security, virtualization and resource management in the cloud. It is based on practical situations to assess understanding and experience.